Neural Processing Letters
Comparing feature-based and clique-based user models for movie selection
Proceedings of the third ACM conference on Digital libraries
Self bounding learning algorithms
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Boosting classifiers regionally
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Exploiting diversity for natural language processing
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Data Compression and Local Metrics for Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
An adaptive version of the boost by majority algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Beating the hold-out: bounds for K-fold and progressive cross-validation
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosted mixture of experts: an ensemble learning scheme
Neural Computation
Boosting regression estimators
Neural Computation
Using Decision Trees to Construct a Practical Parser
Machine Learning - Special issue on natural language learning
Combining estimators to improve performance
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Pruning using parameter and neuronal metrics
Neural Computation
Initializing RBF-networks with small subsets of training examples
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Estimating generalization error using out-of-bag estimates
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Feature selection for ensembles
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Class prediction and discovery using gene expression data
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
Prediction games and arcing algorithms
Neural Computation
Machine Learning - Special issue on multistrategy learning
A Multistrategy Approach to Classifier Learning from Time Series
Machine Learning - Special issue on multistrategy learning
Text filtering by boosting naive Bayes classifiers
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
On the Algorithmic Implementation of Stochastic Discrimination
IEEE Transactions on Pattern Analysis and Machine Intelligence
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Randomizing Outputs to Increase Prediction Accuracy
Machine Learning
Using a Neural Network to Approximate an Ensemble of Classifiers
Neural Processing Letters
Robust Classification for Imprecise Environments
Machine Learning
The Effect of Instance-Space Partition on Significance
Machine Learning
Machine Learning
Mining needle in a haystack: classifying rare classes via two-phase rule induction
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Olfactory Classification via Interpoint Distance Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Fusers that Perform Better than Best Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning and making decisions when costs and probabilities are both unknown
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Solving regression problems with rule-based ensemble classifiers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Experimental comparisons of online and batch versions of bagging and boosting
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A streaming ensemble algorithm (SEA) for large-scale classification
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
SVM binary classifier ensembles for image classification
Proceedings of the tenth international conference on Information and knowledge management
Recognizing Handwritten Digits Using Hierarchical Products of Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence
New learning paradigms in soft computing
Recursive Partitioning Technique for Combining Multiple Classifiers
Neural Processing Letters
Upper Bounds for Error Rates of Linear Combinations of Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Iterated Bagging to Debias Regressions
Machine Learning
A bartering approach to improve multiagent learning
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Relational learning and boosting
Relational Data Mining
Improving retrieval feedback with multiple term-ranking function combination
ACM Transactions on Information Systems (TOIS)
Machine Learning
Ensembling neural networks: many could be better than all
Artificial Intelligence
Boosting to correct inductive bias in text classification
Proceedings of the eleventh international conference on Information and knowledge management
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making
Applied Intelligence
Statistical Themes and Lessons for Data Mining
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Bootstrapping to Assess and Improve Atmospheric Prediction Models
Data Mining and Knowledge Discovery
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Feature-based and Clique-based User Models for Movie Selection: A Comparative Study
User Modeling and User-Adapted Interaction
Using Decision Trees for Agent Modeling: Improving Prediction Performance
User Modeling and User-Adapted Interaction
Hierarchical Feature Extraction for Image Recognition
Journal of VLSI Signal Processing Systems
Bump hunting in high-dimensional data
Statistics and Computing
Discussion on the paper by Friedman and Fisher
Statistics and Computing
Machine Learning
Using Correspondence Analysis to Combine Classifiers
Machine Learning
Linearly Combining Density Estimators via Stacking
Machine Learning
Linear Concepts and Hidden Variables
Machine Learning
An Adaptive Version of the Boost by Majority Algorithm
Machine Learning
Boosting Methods for Regression
Machine Learning
Metric-Based Methods for Adaptive Model Selection and Regularization
Machine Learning
Machine Learning
Parallel frequent set counting
Parallel Computing - Parallel data-intensive algorithms and applications
A perspective view and survey of meta-learning
Artificial Intelligence Review
Combining Classifiers with Meta Decision Trees
Machine Learning
Clustered Partial Linear Regression
Machine Learning
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
IEEE Transactions on Knowledge and Data Engineering
Locally Adaptive Metric Nearest-Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sum Versus Vote Fusion in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Expert: Intelligent Systems and Their Applications
Maximizing Text-Mining Performance
IEEE Intelligent Systems
A geometric approach to leveraging weak learners
Theoretical Computer Science
Pattern Recognition Letters
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Looking for lumps: boosting and bagging for density estimation
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Effect of pruning and early stopping on performance of a boosting ensemble
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Improving nonparametric regression methods by bagging and boosting
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Generalized additive multi-mixture model for data mining
Computational Statistics & Data Analysis - Nonlinear methods and data mining
DynDex: a dynamic and non-metric space indexer
Proceedings of the tenth ACM international conference on Multimedia
Distributed learning with bagging-like performance
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Computer Vision through Kernel Density Estimation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Clustered Partial Linear Regression
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Classification on Data with Biased Class Distribution
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Building Committees by Clustering Models Based on Pairwise Similarity Values
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Backpropagation in Decision Trees for Regression
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Pairwise Classification as an Ensemble Technique
ECML '02 Proceedings of the 13th European Conference on Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Challenges for Inductive Logic Programming
EPIA '99 Proceedings of the 9th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Dynamic Integration of Decision Committees
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Shallow Parsing Using Probabilistic Grammatical Inference
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
Advanced in Predictive Data Mining Methods
MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
Automatic Identification of Diatoms Using Decision Forests
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Rule-Based Ensemble Solutions for Regression
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Local Learning Framework for Recognition of Lowercase Handwritten Characters
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Face Detection by Aggregated Bayesian Network Classifiers
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Decision-Rule Solutions for Data Mining with Missing Values
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Bagging and Boosting with Dynamic Integration of Classifiers
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Combining Multiple Models with Meta Decision Trees
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Explaining Predictions from a Neural Network Ensemble One at a Time
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
The Role of Combining Rules in Bagging and Boosting
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Ensembles of Learning Machines
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Improving Classification Accuracy of Large Test Sets Using the Ordered Classification Algorithm
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Shared Ensemble Learning Using Multi-trees
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Solving Regression Problems Using Competitive Ensemble Models
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Wrapping Boosters against Noise
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
An Approach to Aggregating Ensembles of Lazy Learners That Supports Explanation
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Bagging Can Stabilize without Reducing Variance
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Case Representation Issues for Case-Based Reasoning from Ensemble Research
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Comparison of Face Detection Algorithms
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Voting-Merging: An Ensemble Method for Clustering
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Is a Greedy Covering Strategy an Extreme Boosting?
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Investigations on Stability and Overoptimism of Classification Trees by Using Cross-Validation
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Probing Knowledge in Distributed Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Classifying Unseen Cases with Many Missing Values
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Optimizing the Induction of Alternating Decision Trees
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A Method to Boost Naïve Bayesian Classifiers
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Learning User Preferences in Multi-agent System
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Combining Decision Trees and Neural Networks for Drug Discovery
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Combining Multiclass Maximum Entropy Text Classifiers with Neural Network Voting
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
A Geometric Approach to Leveraging Weak Learners
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Support Vector Machine Ensemble with Bagging
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Integrated Architectures for Machine Learning
Machine Learning and Its Applications, Advanced Lectures
Stacking for Misclassification Cost Performance
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
From Ensemble Methods to Comprehensible Models
DS '02 Proceedings of the 5th International Conference on Discovery Science
Efficient Data Mining by Active Learning
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Practical Algorithms for On-line Sampling
DS '98 Proceedings of the First International Conference on Discovery Science
Instance Guided Rule Induction
DS '98 Proceedings of the First International Conference on Discovery Science
S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
An Automated ILP Server in the Field of Bioinformatics
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
The ``Test and Select'' Approach to Ensemble Combination
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Ensemble Methods in Machine Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
A Mathematically Rigorous Foundation for Supervised Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Boosting in Linear Discriminant Analysis
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Multiple Classifier Systems Based on Interpretable Linear Classifiers
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Methods for Designing Multiple Classifier Systems
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Limiting the Number of Trees in Random Forests
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Feature Weighted Ensemble Classifiers - A Modified Decision Scheme
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Bagging and the Random Subspace Method for Redundant Feature Spaces
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
A Discussion on the Classifier Projection Space for Classifier Combining
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Multistage Neural Network Ensembles
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Distributed Pasting of Small Votes
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
On the General Application of the Tomographic Classifier Fusion Methodology
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Content-Based Classification of Digital Photos
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Constructing Web User Profiles: A non-invasive Learning Approach
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Combining Fisher Linear Discriminants for Dissimilarity Representations
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Supervised Classifier Combination through Generalized Additive Multi-model
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Resampling vs Reweighting in Boosting a Relational Weak Learner
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Boosting as a Monte Carlo Algorithm
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Cooperative Case Bartering for Case-Based Reasoning Agents
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
A Consistent Strategy for Boosting Algorithms
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
An Architecture of a Web-Based Collaborative Image Search Engine
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
An Empirical Comparison of Pruning Methods for Ensemble Classifiers
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Decision Committee Learning with Dynamic Integration of Classifiers
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
A Heuristic Method of Model Choice for Nonlinear Regression
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Towards More Effective Techniques for Automatic Query Expansion
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Optimizing a Multiple Classifier System
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A Hierarchical Multiclassifier System for Hyperspectral Data Analysis
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Bagging improves uncertainty representation in evidential pattern classification
Technologies for constructing intelligent systems
Shrinkage estimator generalizations of Proximal Support Vector Machines
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A refinement approach to handling model misfit in text categorization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient handling of high-dimensional feature spaces by randomized classifier ensembles
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Construct robust rule sets for classification
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Instability of decision tree classification algorithms
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining tasks and methods: Classification: decision-tree discovery
Handbook of data mining and knowledge discovery
From discovered knowledge to decisionmaking
Handbook of data mining and knowledge discovery
Case studies: Public domain, multiple mining tasks systems: MLC++
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Tree Induction for Probability-Based Ranking
Machine Learning
Clustering ensembles of neural network models
Neural Networks
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
Data mining, rough sets and granular computing
An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
Learning to form dynamic committees
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An introduction to boosting and leveraging
Advanced lectures on machine learning
Resampling methods for variable selection in robust regression
Computational Statistics & Data Analysis
A comparative assessment of classification methods
Decision Support Systems
Feature selection in data mining
Data mining
Intelligent data analysis
Recognition of Cursive Roman Handwriting - Past, Present and Future
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Online Ensemble Learning: An Empirical Study
Machine Learning
Improved Rooftop Detection in Aerial Images with Machine Learning
Machine Learning
Experts' Boasting in Trainable Fusion Rules
IEEE Transactions on Pattern Analysis and Machine Intelligence
MEGA---the maximizing expected generalization algorithm for learning complex query concepts
ACM Transactions on Information Systems (TOIS)
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Efficient algorithms for decision tree cross-validation
The Journal of Machine Learning Research
Dimensionality reduction via sparse support vector machines
The Journal of Machine Learning Research
Designing committees of models through deliberate weighting of data points
The Journal of Machine Learning Research
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
Human Face Detection in Digital Video Using SVMEnsemble
Neural Processing Letters
Bounding the effect of noise in multiobjective learning classifier systems
Evolutionary Computation
Bagging for Path-Based Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Towards Simple, Easy-to-Understand, yet Accurate Classifiers
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Is random model better? On its accuracy and efficiency
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Privacy-preserving Distributed Clustering using Generative Models
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
To buy or not to buy: mining airfare data to minimize ticket purchase price
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Confidence-based dynamic ensemble for image annotation and semantics discovery
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Knowing a tree from the forest: art image retrieval using a society of profiles
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Customising WAP-based information services on mobile networks
Personal and Ubiquitous Computing
In search of the Horowitz factor
AI Magazine
Comparing Bayes model averaging and stacking when model approximation error cannot be ignored
The Journal of Machine Learning Research
An approximate analytical approach to resampling averages
The Journal of Machine Learning Research
Active Sampling for Class Probability Estimation and Ranking
Machine Learning
Model selection for medical diagnosis decision support systems
Decision Support Systems
Ensemble Learning for Chemical Sensor Arrays
Neural Processing Letters
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
Bagging and boosting a treebank parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Designing neural network architectures for pattern recognition
The Knowledge Engineering Review
Use of built-in features in the interpretation of high-dimensional cancer diagnosis data
APBC '04 Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29
Minds and Machines
Predicting Customer Behavior in Telecommunications
IEEE Intelligent Systems
A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Selectivity Estimation for String Predicates: Overcoming the Underestimation Problem
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Mistake-driven mixture of hierarchical tag context trees
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Instance-Based Regression by Partitioning Feature Projections
Applied Intelligence
Machine Learning
Machine Learning
The Extension of Statistical Face Detection to Face Tracking
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Lossless Online Bayesian Bagging
The Journal of Machine Learning Research
Learning Ensembles from Bites: A Scalable and Accurate Approach
The Journal of Machine Learning Research
Restrictive clustering and metaclustering for self-organizing document collections
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques
IEEE Transactions on Knowledge and Data Engineering
An intelligent system for customer targeting: a data mining approach
Decision Support Systems
A classification paradigm for distributed vertically partitioned data
Neural Computation
Genetic programming in classifying large-scale data: an ensemble method
Information Sciences: an International Journal - Special issue: Soft computing data mining
An iterative method for multi-class cost-sensitive learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering additive structure in black box functions
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Ordering patterns by combining opinions from multiple sources
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Data-intensive analytics for predictive modeling
IBM Journal of Research and Development
A Monte Carlo analysis of ensemble classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Ensemble selection from libraries of models
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
The Journal of Machine Learning Research
A general approach to incorporate data quality matrices into data mining algorithms
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
Goal-oriented methods and meta methods for document classification and their parameter tuning
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Weakly-supervised relation classification for information extraction
Proceedings of the thirteenth ACM international conference on Information and knowledge management
MOB-ESP and other improvements in probability estimation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
SOM Ensemble-Based Image Segmentation
Neural Processing Letters
Classification and knowledge discovery in protein databases
Journal of Biomedical Informatics - Special issue: Biomedical machine learning
Fast Binary Feature Selection with Conditional Mutual Information
The Journal of Machine Learning Research
Stability of Randomized Learning Algorithms
The Journal of Machine Learning Research
Fast SVM Training Algorithm with Decomposition on Very Large Data Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Semantics and feature discovery via confidence-based ensemble
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Not so naive Bayes: aggregating one-dependence estimators
Machine Learning
Text classification based on data partitioning and parameter varying ensembles
Proceedings of the 2005 ACM symposium on Applied computing
Evolving neural network ensembles for control problems
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Molecular programming: evolving genetic programs in a test tube
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
DXCS: an XCS system for distributed data mining
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Statistics and Computing
Semisupervised Learning for Molecular Profiling
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
IEEE Transactions on Knowledge and Data Engineering
Probabilistic Finite-State Machines-Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scaling to very very large corpora for natural language disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Weakly supervised natural language learning without redundant views
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Neural network ensemble strategies for financial decision applications
Computers and Operations Research
Word sense disambiguation by learning from unlabeled data
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Combining partitions by probabilistic label aggregation
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Feature bagging for outlier detection
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Robust boosting and its relation to bagging
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Making holistic schema matching robust: an ensemble approach
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Using association rules to make rule-based classifiers robust
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
Using One-Class and Two-Class SVMs for Multiclass Image Annotation
IEEE Transactions on Knowledge and Data Engineering
On Visualization and Aggregation of Nearest Neighbor Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interruptible anytime algorithms for iterative improvement of decision trees
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Mining relational databases with multi-view learning
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Automatically utilizing secondary sources to align information across sources
AI Magazine - Special issue on semantic integration
Tri-Training: Exploiting Unlabeled Data Using Three Classifiers
IEEE Transactions on Knowledge and Data Engineering
Polus: Growing Storage QoS Management Beyond a "4-Year Old Kid"
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
Theoretical Bounds of Majority Voting Performance for a Binary Classification Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantic image classification with hierarchical feature subset selection
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Learning classifier system ensemble for data mining
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Error limiting reductions between classification tasks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Reducing overfitting in process model induction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Predicting probability distributions for surf height using an ensemble of mixture density networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Experimental comparison between bagging and Monte Carlo ensemble classification
ICML '05 Proceedings of the 22nd international conference on Machine learning
Closed-form dual perturb and combine for tree-based models
ICML '05 Proceedings of the 22nd international conference on Machine learning
A comparison of tight generalization error bounds
ICML '05 Proceedings of the 22nd international conference on Machine learning
Ensembles of biased classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Recycling data for multi-agent learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Generalized skewing for functions with continuous and nominal attributes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
Genetic Programming and Evolvable Machines
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Sharing Classifiers among Ensembles from Related Problem Domains
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Partial Ensemble Classifiers Selection for Better Ranking
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Predicting Software Escalations with Maximum ROI
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Classifier Fusion Using Shared Sampling Distribution for Boosting
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Multi-classifier framework for atlas-based image segmentation
Pattern Recognition Letters
Intelligent vocal cord image analysis for categorizing laryngeal diseases
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Local bagging of decision stumps
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
Combining heterogeneous classifiers for word-sense disambiguation
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Distinguishing easy and hard instances
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Named entity learning and verification: expectation maximization in large corpora
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Feature selection for a rich HPSG grammar using decision trees
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Meta-learning orthographic and contextual models for language independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Improved automatic keyword extraction given more linguistic knowledge
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Boosting with Noisy Data: Some Views from Statistical Theory
Neural Computation
Stochastic Organization of Output Codes in Multiclass Learning Problems
Neural Computation
Neural Computation
N-tuple Network, CART, and Bagging
Neural Computation
A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
Detector of image orientation based on Borda Count
Pattern Recognition Letters
Machine Learning
Automatic complex schema matching across Web query interfaces: A correlation mining approach
ACM Transactions on Database Systems (TODS)
Classifier combination schemes in speech impediment therapy systems
Acta Cybernetica
Collaborative multi-strategy classification: application to per-pixel analysis of images
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Ensemble of missing data techniques to improve software prediction accuracy
Proceedings of the 28th international conference on Software engineering
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
IEEE Intelligent Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Random Sampling for Subspace Face Recognition
International Journal of Computer Vision
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
An ensemble-driven k-NN approach to ill-posed classification problems
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Using secure coprocessors for privacy preserving collaborative data mining and analysis
DaMoN '06 Proceedings of the 2nd international workshop on Data management on new hardware
An evidential approach in ensembles
Proceedings of the 2006 ACM symposium on Applied computing
Learning rich semantics from news video archives by style analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Diversification for better classification trees
Computers and Operations Research
An empirical comparison of supervised learning algorithms
ICML '06 Proceedings of the 23rd international conference on Machine learning
Kernelizing the output of tree-based methods
ICML '06 Proceedings of the 23rd international conference on Machine learning
Using query-specific variance estimates to combine Bayesian classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
Pruning in ordered bagging ensembles
ICML '06 Proceedings of the 23rd international conference on Machine learning
Concept boundary detection for speeding up SVMs
ICML '06 Proceedings of the 23rd international conference on Machine learning
Coordination number prediction using learning classifier systems: performance and interpretability
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Improving cooperative GP ensemble with clustering and pruning for pattern classification
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence
The problem of disguised missing data
ACM SIGKDD Explorations Newsletter
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Outlier detection by active learning
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Incremental approximate matrix factorization for speeding up support vector machines
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Outlier detection by sampling with accuracy guarantees
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining citizen science data to predict orevalence of wild bird species
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Maximum profit mining and its application in software development
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
A probabilistic classifier system and its application in data mining
Evolutionary Computation
Bootstrapping rule induction to achieve rule stability and reduction
Journal of Intelligent Information Systems
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation Forest: A New Classifier Ensemble Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Demonstrating the stability of support vector machines for classification
Signal Processing - Signal processing in UWB communications
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
Machine learning for HIV-1 protease cleavage site prediction
Pattern Recognition Letters
Local averaging of heterogeneous regression models
International Journal of Hybrid Intelligent Systems
An analysis of diversity measures
Machine Learning
Training a reciprocal-sigmoid classifier by feature scaling-space
Machine Learning
Dynamic ensemble approach for estimating organic carbon using computational intelligence
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Swarm bias-variance analysis of an evolutionary neural network classifier
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Combining forecasts with blind signal separation methods in electric load prediction framework
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Cluster-based pattern discrimination: A novel technique for feature selection
Pattern Recognition Letters
An adaptive classification method for multimedia retrieval
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
MILES: Multiple-Instance Learning via Embedded Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Performance thresholding in practical text classification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Aggregate features and ADABOOST for music classification
Machine Learning
A Comparison of Decision Tree Ensemble Creation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiagent-Based Model Integration
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Combining Information Extraction Systems Using Voting and Stacked Generalization
The Journal of Machine Learning Research
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
Ensemble based on GA wrapper feature selection
Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
Extracting symbolic rules from trained neural network ensembles
AI Communications - Artificial Intelligence Advances in China
Modeling commonality among related classes in relation extraction
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
PCFGs with syntactic and prosodic indicators of speech repairs
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Optimizing to arbitrary NLP metrics using ensemble selection
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Classification by evolutionary ensembles
Pattern Recognition
Ensemble learning for independent component analysis
Pattern Recognition
Rapid and brief communication: FuzzyBagging: A novel ensemble of classifiers
Pattern Recognition
Using boosting to prune bagging ensembles
Pattern Recognition Letters
Classifier hierarchy learning by means of genetic algorithms
Pattern Recognition Letters
A cooperative constructive method for neural networks for pattern recognition
Pattern Recognition
Parallelizing AdaBoost by weights dynamics
Computational Statistics & Data Analysis
Artificial Intelligence in Medicine
Cancer gene search with data-mining and genetic algorithms
Computers in Biology and Medicine
Ensemblator: An ensemble of classifiers for reliable classification of biological data
Pattern Recognition Letters
Modelling DOC export from watersheds in Scotland using neural networks
Computers & Geosciences
Computational Biology and Chemistry
Computer Methods and Programs in Biomedicine
Multiple feature sets based categorization of laryngeal images
Computer Methods and Programs in Biomedicine
An empirical study on classification methods for alarms from a bug-finding static C analyzer
Information Processing Letters
Evaluating chi-squared automatic interaction detection
Information Systems
Classifier hierarchy learning by means of genetic algorithms
Pattern Recognition Letters
Immune network based ensembles
Neurocomputing
Information Sciences: an International Journal
Continuous space language models
Computer Speech and Language
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
Classifying imbalanced data using a bagging ensemble variation (BEV)
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
An evidential and genetic method for cooperative learning systems
Multiagent and Grid Systems
Local voting of weak classifiers
International Journal of Knowledge-based and Intelligent Engineering Systems
Efficient sampling of training set in large and noisy multimedia data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Non-strict heterogeneous Stacking
Pattern Recognition Letters
Weather analysis using ensemble of connectionist learning paradigms
Applied Soft Computing
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Applied Soft Computing
Facing classification problems with Particle Swarm Optimization
Applied Soft Computing
Enhancing software quality estimation using ensemble-classifier based noise filtering
Intelligent Data Analysis
Feature set decomposition for decision trees
Intelligent Data Analysis
A linear wrapper for sample subset selection in atypical detection
Intelligent Data Analysis
Pruning extensions to stacking
Intelligent Data Analysis
Structural geography of the space of emerging patterns
Intelligent Data Analysis
Evaluating noise elimination techniques for software quality estimation
Intelligent Data Analysis
Data Mining and Knowledge Discovery
Understanding the role of facial asymmetry in human face identification
Statistics and Computing
Classifying densities using functional regression trees: Applications in oceanology
Computational Statistics & Data Analysis
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
Machine-learnt versus analytical models of TCP throughput
Computer Networks: The International Journal of Computer and Telecommunications Networking
A co-evolving decision tree classification method
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hybrid classification method using error pattern modeling
Expert Systems with Applications: An International Journal
Transductive Methods for the Distributed Ensemble Classification Problem
Neural Computation
The Journal of Machine Learning Research
Ensemble Pruning Via Semi-definite Programming
The Journal of Machine Learning Research
Nonlinear Boosting Projections for Ensemble Construction
The Journal of Machine Learning Research
Anytime Learning of Decision Trees
The Journal of Machine Learning Research
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Symmetric-embedding prediction of the CATS benchmark
Neurocomputing
Decision-tree instance-space decomposition with grouped gain-ratio
Information Sciences: an International Journal
A boosting approach for corporate failure prediction
Applied Intelligence
Minority vote: at-least-N voting improves recall for extracting relations
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Semantic parsing with structured SVM ensemble classification models
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A comparative study of classification methods for microarray data analysis
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Data mining for lifetime prediction of metallic components
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Collective behavior based hierarchical XCS
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
A maximally diversified multiple decision tree algorithm for microarray data classification
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
Diagnosing scrapie in sheep: A classification experiment
Computers in Biology and Medicine
A grid-based approach for enterprise-scale data mining
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A grid-based approach for enterprise-scale data mining
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Artificial Intelligence in Medicine
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Classifier systems that compute action mappings
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Estimation and use of uncertainty in pseudo-relevance feedback
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Classification by ensembles from random partitions of high-dimensional data
Computational Statistics & Data Analysis
Model-shared subspace boosting for multi-label classification
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Distributed classification in peer-to-peer networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
High-quantile modeling for customer wallet estimation and other applications
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition
Functional dissipation microarrays for classification
Pattern Recognition
Decision trees using model ensemble-based nodes
Pattern Recognition
EROS: Ensemble rough subspaces
Pattern Recognition
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework
Journal of VLSI Signal Processing Systems
Active learning for logistic regression: an evaluation
Machine Learning
Prediction of MHC II-binding peptides using rough set-based rule sets ensemble
Applied Intelligence
Authentic facial expression analysis
Image and Vision Computing
Toward knowledge-driven data mining
Proceedings of the 2007 international workshop on Domain driven data mining
Collaborative multi-step mono-level multi-strategy classification
Multimedia Tools and Applications
An experimental evaluation of ensemble methods for EEG signal classification
Pattern Recognition Letters
Soft computing system for bank performance prediction
Applied Soft Computing
Cross-validated bagged learning
Journal of Multivariate Analysis
A comprehensive review of recursive Naïve Bayes Classifiers
Intelligent Data Analysis
Intelligent Data Analysis
Missing values prediction with K2
Intelligent Data Analysis
A reduction technique for nearest-neighbor classification: Small groups of examples
Intelligent Data Analysis
Adaptive boosting techniques in heterogeneous and spatial databases
Intelligent Data Analysis
Induction of decision trees in numeric domains using set-valued attributes
Intelligent Data Analysis
Clustering data manipulation methods for the development of local specialists
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Improving railroad wheel inspection planning using classification methods
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
An ensemble method in hybrid real-coded genetic algorithm with pruning for data classification
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
The Dynamics of Negative Correlation Learning
Journal of VLSI Signal Processing Systems
Non-parametric bootstrap ensembles for detection of tumor lesions
Pattern Recognition Letters
Classifier ensembles: Select real-world applications
Information Fusion
Semisupervised Regression with Cotraining-Style Algorithms
IEEE Transactions on Knowledge and Data Engineering
Cross-validation and aggregated EM training for robust parameter estimation
Computer Speech and Language
Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Artificial Intelligence in Medicine
Classification tree analysis using TARGET
Computational Statistics & Data Analysis
Empirical characterization of random forest variable importance measures
Computational Statistics & Data Analysis
A local boosting algorithm for solving classification problems
Computational Statistics & Data Analysis
Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters
IEEE Transactions on Pattern Analysis and Machine Intelligence
An algorithm for idle-state detection in motor-imagery-based brain-computer interface
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Journal of Biomedical Informatics
Optimizing weights in combining classifiers in natural language learning
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Credit risk assessment with a multistage neural network ensemble learning approach
Expert Systems with Applications: An International Journal
Data sanitization: improving the forensic utility of anomaly detection systems
HotDep'07 Proceedings of the 3rd workshop on on Hot Topics in System Dependability
An incremental learning framework for estimating signal controllability in unit-level verification
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Reduced bootstrap aggregating of learning algorithms
Pattern Recognition Letters
Link analysis for Web spam detection
ACM Transactions on the Web (TWEB)
Improving analogy-based software cost estimation by a resampling method
Information and Software Technology
Random Forests for multiclass classification: Random MultiNomial Logit
Expert Systems with Applications: An International Journal
Survey paper: Optimal experimental design and some related control problems
Automatica (Journal of IFAC)
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Computational Statistics & Data Analysis
Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation
Image and Vision Computing
Management of uncertainty in Statistical Reasoning: The case of Regression Analysis
International Journal of Approximate Reasoning
The random electrode selection ensemble for EEG signal classification
Pattern Recognition
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Expert Systems with Applications: An International Journal
A support system for predicting eBay end prices
Decision Support Systems
The random electrode selection ensemble for EEG signal classification
Pattern Recognition
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
An efficient modified boosting method for solving classification problems
Journal of Computational and Applied Mathematics
Discrete Applied Mathematics
A decision support system to facilitate management of patients with acute gastrointestinal bleeding
Artificial Intelligence in Medicine
Software reliability prediction by soft computing techniques
Journal of Systems and Software
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
Pattern Recognition Letters
Lake classification to enhance prediction of eutrophication endpoints in Finnish lakes
Environmental Modelling & Software
Type-2 fuzzy logic-based classifier fusion for support vector machines
Applied Soft Computing
A theoretical framework for multiple neural network systems
Neurocomputing
Phone duration modeling using gradient tree boosting
Speech Communication
Effective modelling of percolation at the landscape scale using data-based approaches
Computers & Geosciences
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
Decision Support Systems
Grasp recognition for uncalibrated data gloves: A machine learning approach
Presence: Teleoperators and Virtual Environments
Boosting recombined weak classifiers
Pattern Recognition Letters
Flexible document categorisation
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
Constructing ensembles of symbolic classifiers
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
A boosting approach to remove class label noise
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
On diversity and accuracy of homogeneous and heterogeneous ensembles
International Journal of Hybrid Intelligent Systems
Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design
International Journal of Hybrid Intelligent Systems - Hybridization of Intelligent Systems
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
Cancer classification using Rotation Forest
Computers in Biology and Medicine
Boosting classifiers for drifting concepts
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
Principled reasoning and practical applications of alert fusion in intrusion detection systems
Proceedings of the 2008 ACM symposium on Information, computer and communications security
Genetic fuzzy classification fusion of multiple SVMs for biomedical data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary computation in bioinformatics
Fuzzy clustering ensemble based on mutual information
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
An experimental comparative study of web mining methods for recommender systems
DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
Multiclass classification using neural networks and interval neutrosophic sets
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Automated speech analysis applied to laryngeal disease categorization
Computer Methods and Programs in Biomedicine
RotBoost: A technique for combining Rotation Forest and AdaBoost
Pattern Recognition Letters
Prediction of pricing and hedging errors for equity linked warrants with Gaussian process models
Expert Systems with Applications: An International Journal
Comparisons of titer estimation methods for multiplexed pneumococcal opsonophagocytic killing assay
Computational Statistics & Data Analysis
AdaBoost with SVM-based component classifiers
Engineering Applications of Artificial Intelligence
Patient-specific learning in real time for adaptive monitoring in critical care
Journal of Biomedical Informatics
Decision tool for the early diagnosis of trauma patient hypovolemia
Journal of Biomedical Informatics
A lazy bagging approach to classification
Pattern Recognition
Heterogeneous stacking for classification-driven watershed segmentation
EURASIP Journal on Advances in Signal Processing
Analysis of a genetic programming algorithm for association studies
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Bolasso: model consistent Lasso estimation through the bootstrap
Proceedings of the 25th international conference on Machine learning
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Evidence Contrary to the Statistical View of Boosting
The Journal of Machine Learning Research
Learning Control Knowledge for Forward Search Planning
The Journal of Machine Learning Research
On profiling blogs with representative entries
Proceedings of the second workshop on Analytics for noisy unstructured text data
Learning classifier system ensemble and compact rule set
Connection Science - Evolutionary Learning and Optimisation
Data & Knowledge Engineering
Lexicon randomization for near-duplicate detection with I-Match
The Journal of Supercomputing
Class-switching neural network ensembles
Neurocomputing
Estimation and decision fusion: A survey
Neurocomputing
Local peculiarity factor and its application in outlier detection
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning methods for lung tumor markerless gating in image-guided radiotherapy
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Meta methods for model sharing in personal information systems
ACM Transactions on Information Systems (TOIS)
Automatically countering imbalance and its empirical relationship to cost
Data Mining and Knowledge Discovery
Counting and enumerating aggregate classifiers
Discrete Applied Mathematics
Gaussian processes and limiting linear models
Computational Statistics & Data Analysis
The combination of multiple classifiers using an evidential reasoning approach
Artificial Intelligence
Support vector machines, Decision Trees and Neural Networks for auditor selection
Journal of Computational Methods in Sciences and Engineering - Intelligent Systems and Knowledge Management
Identifying psycho-social fingerprints in medical and engineering documents
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Investigating methods for improving bagged k-NN classifiers
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Neural Systems for Short-Term Forecasting of Electric Power Load
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
A Dynamic Committee Scheme on Multiple-Criteria Linear Programming Classification Method
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Neural-Network-Based Fuzzy Group Forecasting with Application to Foreign Exchange Rates Prediction
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Fast and Accurate Progressive Algorithm for Training Transductive SVMs
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
On the Combination of Locally Optimal Pairwise Classifiers
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Comparing State-of-the-Art Collaborative Filtering Systems
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Decision Tree Instability and Active Learning
ECML '07 Proceedings of the 18th European conference on Machine Learning
Additive Groves of Regression Trees
ECML '07 Proceedings of the 18th European conference on Machine Learning
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
ECML '07 Proceedings of the 18th European conference on Machine Learning
Avoiding Boosting Overfitting by Removing Confusing Samples
ECML '07 Proceedings of the 18th European conference on Machine Learning
Ensembles of Multi-Objective Decision Trees
ECML '07 Proceedings of the 18th European conference on Machine Learning
Scale-Space Based Weak Regressors for Boosting
ECML '07 Proceedings of the 18th European conference on Machine Learning
Roulette Sampling for Cost-Sensitive Learning
ECML '07 Proceedings of the 18th European conference on Machine Learning
CTC: An Alternative to Extract Explanation from Bagging
Current Topics in Artificial Intelligence
Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning
Neural Information Processing
Boosting Threshold Classifiers for High--- Dimensional Data in Functional Genomics
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Emotion Classification of Audio Signals Using Ensemble of Support Vector Machines
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Efficient Tracking as Linear Program on Weak Binary Classifiers
Proceedings of the 30th DAGM symposium on Pattern Recognition
Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Solving Regression by Learning an Ensemble of Decision Rules
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
How an Ensemble Method Can Compute a Comprehensible Model
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Empirical Analysis of Reliability Estimates for Individual Regression Predictions
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Classification-Based Color Constancy
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Analyzing Classifier Hierarchy Multiclassifier Learning
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Robust Feature Selection Using Ensemble Feature Selection Techniques
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Forest-RK: A New Random Forest Induction Method
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Some Progress of Supervised Learning
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
A Boost Voting Strategy for Knowledge Integration and Decision Making
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Consistency of Random Forests and Other Averaging Classifiers
The Journal of Machine Learning Research
INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY
Applied Artificial Intelligence
Nonlinear clustering-based support vector machine for large data sets
Optimization Methods & Software - Mathematical programming in data mining and machine learning
International Journal of Remote Sensing
Ensemble of support vector machines for land cover classification
International Journal of Remote Sensing
Learning to hash: forgiving hash functions and applications
Data Mining and Knowledge Discovery
Estimation of individual prediction reliability using the local sensitivity analysis
Applied Intelligence
Expert Systems with Applications: An International Journal
Email Spam Filtering: A Systematic Review
Foundations and Trends in Information Retrieval
Comparison of approaches for estimating reliability of individual regression predictions
Data & Knowledge Engineering
Design of ensemble neural network using the Akaike information criterion
Engineering Applications of Artificial Intelligence
Image statistics and data mining of anal intraepithelial neoplasia
Pattern Recognition Letters
Boosting random subspace method
Neural Networks
The bootstrapping of the Yarowsky algorithm in real corpora
Information Processing and Management: an International Journal
The Use of Fuzzy t-Conorm Integral for Combining Classifiers
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Boosting and measuring the performance of ensembles for a successful database marketing
Expert Systems with Applications: An International Journal
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Standard errors for bagged and random forest estimators
Computational Statistics & Data Analysis
Bootstrap estimated true and false positive rates and ROC curve
Computational Statistics & Data Analysis
Methods and algorithms of collective recognition
Automation and Remote Control
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
DS '08 Proceedings of the 11th International Conference on Discovery Science
Multirelational classification: a multiple view approach
Knowledge and Information Systems
International Journal of Computer Applications in Technology
Pattern recognition of guided waves for damage evaluation in bars
Pattern Recognition Letters
Patient-centered yes/no prognosis using learning machines
International Journal of Data Mining and Bioinformatics
Diversity of ability and cognitive style for group decision processes
Information Sciences: an International Journal
Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
Learning Classifier Systems
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Semi-supervised Learning with Ensemble Learning and Graph Sharpening
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
An Empirical Study of Combined Classifiers for Knowledge Discovery on Medical Data Bases
Advanced Web and NetworkTechnologies, and Applications
Recent Advances in Reinforcement Learning
Improving Promoter Prediction Using Multiple Instance Learning
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Combining Bagging, Boosting and Dagging for Classification Problems
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Adversarial Pattern Classification Using Multiple Classifiers and Randomisation
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Graph Classification Based on Dissimilarity Space Embedding
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Bagging, Random Subspace Method and Biding
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Directed decision trees for generating complementary systems
Speech Communication
A new fast forecasting technique using high speed neural networks
WSEAS Transactions on Signal Processing
A novel fast Kolmogorov's spline complex network for pattern detection
WSEAS TRANSACTIONS on SYSTEMS
A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Mining Multidimensional Data through Element Oriented Analysis
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Learning from Skewed Class Multi-relational Databases
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
A new method for hierarchical clustering combination
Intelligent Data Analysis
A similarity measure to assess the stability of classification trees
Computational Statistics & Data Analysis
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
Brief paper: Experience-consistent modeling: Regression and classification problems
Automatica (Journal of IFAC)
The individual borrowers recognition: Single and ensemble trees
Expert Systems with Applications: An International Journal
Empirical analysis of support vector machine ensemble classifiers
Expert Systems with Applications: An International Journal
Failure prediction of dotcom companies using hybrid intelligent techniques
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A selective ensemble based on expected probabilities for bankruptcy prediction
Expert Systems with Applications: An International Journal
Two-way cooperative prediction for collaborative filtering recommendations
Expert Systems with Applications: An International Journal
On the combination of locally optimal pairwise classifiers
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Software quality analysis by combining multiple projects and learners
Software Quality Control
A neural-network-based nonlinear metamodeling approach to financial time series forecasting
Applied Soft Computing
Tree-structured model diagnostics for linear regression
Machine Learning
Traffic classification using en-semble learning and co-training
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
A new fast forecasting technique using high speed neural networks
SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
A novel fast Kolmogorov's spline complex network for pattern detection
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
A PSO Based Adaboost Approach to Object Detection
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
A Balanced Ensemble Learning with Adaptive Error Functions
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Biometrics and Identity Management
Exact bootstrap k-nearest neighbor learners
Machine Learning
A genetic encoding approach for learning methods for combining classifiers
Expert Systems with Applications: An International Journal
Survival prediction using gene expression data: A review and comparison
Computational Statistics & Data Analysis
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
Bio-inspired and gradient-based algorithms to train MLPs: The influence of diversity
Information Sciences: an International Journal
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Artificial Intelligence in Medicine
Locally application of cascade generalization for classification problems
Intelligent Decision Technologies
Feature Selection Algorithm for Multiple Classifier Systems: A Hybrid Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Bagging for Gaussian process regression
Neurocomputing
Ore image segmentation by learning image and shape features
Pattern Recognition Letters
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IEICE - Transactions on Information and Systems
Context-Aware Users' Preference Models by Integrating Real and Supposed Situation Data
IEICE - Transactions on Information and Systems
Multi-class SVM classifier for english handwritten digit recognition using manual class segmentation
Proceedings of the International Conference on Advances in Computing, Communication and Control
Support vector machine (SVM) classifier for brain tumor detection
Proceedings of the International Conference on Advances in Computing, Communication and Control
Ensemble of classifiers for detecting network intrusion
Proceedings of the International Conference on Advances in Computing, Communication and Control
Ensemble based on GA wrapper feature selection
Computers and Industrial Engineering
Information Retrieval
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Cool Blog Classification from Positive and Unlabeled Examples
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Diversity in Combinations of Heterogeneous Classifiers
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Boosting a fast neural network for supervised land cover classification
Computers & Geosciences
AN EMPIRICAL COMPARISON OF TECHNIQUES FOR HANDLING INCOMPLETE DATA USING DECISION TREES
Applied Artificial Intelligence
Boosting k-nearest neighbor classifier by means of input space projection
Expert Systems with Applications: An International Journal
Revisiting the evaluation of defect prediction models
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Multiclass classification and gene selection with a stochastic algorithm
Computational Statistics & Data Analysis
Negative correlation in incremental learning
Natural Computing: an international journal
Automating role-based provisioning by learning from examples
Proceedings of the 14th ACM symposium on Access control models and technologies
Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification
Expert Systems with Applications: An International Journal
Construct support vector machine ensemble to detect traffic incident
Expert Systems with Applications: An International Journal
Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Traffic flow forecasting based on multitask ensemble learning
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Online Classification of Network Flows
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions
Fundamenta Informaticae - Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)
Multivariate trees for mixed outcomes
Computational Statistics & Data Analysis
Searching for interacting features in subset selection
Intelligent Data Analysis
An overview of advances in reliability estimation of individual predictions in machine learning
Intelligent Data Analysis
Artificial neural network reduction through oracle learning
Intelligent Data Analysis
A system for analysis and prediction of electricity-load streams
Intelligent Data Analysis - Knowledge Discovery from Data Streams
Frontal-view gait recognition by intra- and inter-frame rectangle size distribution
Pattern Recognition Letters
Supervised machine learning algorithms for protein structure classification
Computational Biology and Chemistry
Learning non-redundant codebooks for classifying complex objects
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Bagging and boosting algorithms for support vector machine classifiers
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Learning robust cell signalling models from high throughput proteomic data
International Journal of Bioinformatics Research and Applications
A model-free ensemble method for class prediction with application to biomedical decision making
Artificial Intelligence in Medicine
A novel method for constructing ensemble classifiers
Statistics and Computing
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Ensemble document clustering using weighted hypergraph generated by NMF
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Porosity Prediction Using Bagging of Complementary Neural Networks
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Semi-supervised Learning with Multimodal Perturbation
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Weighting Individual Classifiers by Local Within-Class Accuracies
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Fault Diagnosis of Analog IC Based on Wavelet Neural Network Ensemble
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Optimization of a training set for more robust face detection
Pattern Recognition
EEG under anesthesia-Feature extraction with TESPAR
Computer Methods and Programs in Biomedicine
Towards Predictive Modelling of Student Affect from Web-Based Interactions
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Mixture of Gaussians Model for Robust Pedestrian Images Detection
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Gas Turbine Fault Diagnosis using Random Forests
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Particle swarm optimization based multi-prototype ensembles
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An evolutionary approach to constructive induction for link discovery
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest
Computer Methods and Programs in Biomedicine
Ensemble Methods for Multilayer Feedforward: An Experimental Study
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Recognizing Images from ICA Filters and Neural Network Ensembles with Rule Extraction
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Ensemble Methods for Boosting Visualization Models
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Real Adaboost Ensembles with Emphasized Subsampling
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Bayesian Random Split to Build Ensembles of Classification Trees
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the Effectiveness of Diversity When Training Multiple Classifier Systems
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Rough Ensemble Classifier: A Comparative Study
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Improved Uniformity Enforcement in Stochastic Discrimination
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
A Study of Random Linear Oracle Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Stacking for Ensembles of Local Experts in Metabonomic Applications
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Boosting Support Vector Machines Successfully
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Multiple Classifier Systems for Adversarial Classification Tasks
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Influence of Hyperparameters on Random Forest Accuracy
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Unsupervised Hierarchical Weighted Multi-segmenter
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Ant Clustering Using Ensembles of Partitions
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Combining Multiple Classifiers with Dynamic Weighted Voting
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Computational Intelligence Methods for Bioinformatics and Biostatistics
Boosting Formal Concepts to Discover Classification Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Out-of-bag estimation of the optimal sample size in bagging
Pattern Recognition
An ensemble technique for stable learners with performance bounds
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Any time induction of decision trees: an iterative improvement approach
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Quantifying the impact of learning algorithm parameter tuning
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Thresholding for making classifiers cost-sensitive
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A uniform approach to analogies, synonyms, antonyms, and associations
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Improved Statistical Techniques for Multi-part Face Detection and Recognition
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
ODDboost: Incorporating Posterior Estimates into AdaBoost
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Relevance and Redundancy Analysis for Ensemble Classifiers
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Do not forget: full memory in memory-based learning of word pronunciation
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Is bagging effective in the classification of small-sample genomic and proteomic data?
EURASIP Journal on Bioinformatics and Systems Biology - Special issue on applications of signal procesing techniques to bioinformatics, genomics, and proteomics
Semi-supervised training for the averaged perceptron POS tagger
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Computational Statistics & Data Analysis
Backward chaining rule induction
Intelligent Data Analysis - Selected papers from IDA2005, Madrid, Spain
A fast ensemble pruning algorithm based on pattern mining process
Data Mining and Knowledge Discovery
Machine learning in digital games: a survey
Artificial Intelligence Review
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Ensembles of Abstaining Classifiers Based on Rule Sets
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
On Feature Selection, Bias-Variance, and Bagging
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Machine learning for automatic mapping of planetary surfaces
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Constraint projections for ensemble learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Classifier combination techniques applied to coreference resolution
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
UBC-ZAS: a k-NN based multiclassifier system to perform WSD in a reduced dimensional vector space
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Is nonparametric learning practical in very high dimensional spaces?
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Ensembles as a sequence of classifiers
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Stacked generalization: when does it work?
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Learning sentence-internal temporal relations
Journal of Artificial Intelligence Research
Active learning with multiple views
Journal of Artificial Intelligence Research
Spectrum of variable-random trees
Journal of Artificial Intelligence Research
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Issues in stacked generalization
Journal of Artificial Intelligence Research
Decision tree grafting from the all-tests-but-one partition
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Distributed data mining: why do more than aggregating models
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A fusion of stacking with dynamic integration
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Theoretical background for ensemble methods with multivariate decomposition
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
Least squares support vector machines ensemble models for credit scoring
Expert Systems with Applications: An International Journal
Accurate and large-scale privacy-preserving data mining using the election paradigm
Data & Knowledge Engineering
Troika - An improved stacking schema for classification tasks
Information Sciences: an International Journal
Monte Carlo theory as an explanation of bagging and boosting
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Constructing diverse classifier ensembles using artificial training examples
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Inductive learning in less than one sequential data scan
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Skewing: an efficient alternative to lookahead for decision tree induction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Towards a theoretical framework for ensemble classification
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Large-scale multimedia semantic concept modeling using robust subspace bagging and MapReduce
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Genetic algorithm based selective neural network ensemble
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Repairing concavities in ROC curves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A two-stage method for active learning of statistical grammars
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Log file analysis for disengagement detection in e-Learning environments
User Modeling and User-Adapted Interaction
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
Support vector machine based multiagent ensemble learning for credit risk evaluation
Expert Systems with Applications: An International Journal
Characterizing and predicting search engine switching behavior
Proceedings of the 18th ACM conference on Information and knowledge management
Unique classifier selection approach for bagging algorithm
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
An ensemble method using hybrid real-coded genetic algorithm with pruning (HRGA/PR)
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing
Computational Statistics & Data Analysis
Responder identification in clinical trials with censored data
Computational Statistics & Data Analysis
Estimating the functional form of a continuous covariate's effect on survival time
Computational Statistics & Data Analysis
Stock and bond return predictability: the discrimination power of model selection criteria
Computational Statistics & Data Analysis
Generalised indirect classifiers
Computational Statistics & Data Analysis
Boosting and instability for regression trees
Computational Statistics & Data Analysis
Bundling classifiers by bagging trees
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Bagging and AdaBoost algorithms for vector quantization
Neurocomputing
Logistic ensembles of Random Spherical Linear Oracles for microarray classification
International Journal of Data Mining and Bioinformatics
Exploratory undersampling for class-imbalance learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Detection and prognostics on low-dimensional systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Neural Networks
Constructing ensembles of classifiers by means of weighted instance selection
IEEE Transactions on Neural Networks
A self-organized, distributed, and adaptive rule-based induction system
IEEE Transactions on Neural Networks
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
Automatic color constancy algorithm selection and combination
Pattern Recognition
Evolutionary discriminant feature extraction with application to face recognition
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Generalized cluster aggregation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Robust speech interaction in motorcycle environment
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Local within-class accuracies for weighting individual outputs in multiple classifier systems
Pattern Recognition Letters
Rotation-based model trees for classification
International Journal of Data Analysis Techniques and Strategies
Ensemble with neural networks for bankruptcy prediction
Expert Systems with Applications: An International Journal
Multiple classifier application to credit risk assessment
Expert Systems with Applications: An International Journal
Large-scale investigation of weed seed identification by machine vision
Computers and Electronics in Agriculture
IEEE Transactions on Information Theory
Zone analysis: a visualization framework for classification problems
Artificial Intelligence Review
Boosting Classifiers Built from Different Subsets of Features
Fundamenta Informaticae
Improving a rule evaluation support method based on objective indices
International Journal of Advanced Intelligence Paradigms
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
A hybrid approach for efficient ensembles
Decision Support Systems
A novel ensemble machine learning for robust microarray data classification
Computers in Biology and Medicine
Patient-recognition data-mining model for BCG-plus interferon immunotherapy bladder cancer treatment
Computers in Biology and Medicine
Indexing ICD-9 codes for free-textual clinical diagnosis records by a new ensemble classifier
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
PLANET: massively parallel learning of tree ensembles with MapReduce
Proceedings of the VLDB Endowment
Reducing the annotation effort for letter-to-phoneme conversion
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Reducing semantic drift with bagging and distributional similarity
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Using genetic programming to obtain implicit diversity
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Statistical Instance-Based Ensemble Pruning for Multi-class Problems
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Semi-supervised Learning for Regression with Co-training by Committee
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Dynamics of Incremental Learning by VSF-Network
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Balanced Learning for Ensembles with Small Neural Networks
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
A Non-sequential Representation of Sequential Data for Churn Prediction
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Improving Pit---Pattern Classification of Endoscopy Images by a Combination of Experts
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool
DS '09 Proceedings of the 12th International Conference on Discovery Science
A Hierarchical Face Recognition Algorithm
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
A multiclassifier based approach for word sense disambiguation using Singular Value Decomposition
IWCS-8 '09 Proceedings of the Eighth International Conference on Computational Semantics
Neural Network Ensembles from Training Set Expansions
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Motion Retrieval with Temporal-Spatial Features Based on Ensemble Learning
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Classifying Multiple Imbalanced Attributes in Relational Data
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Ensemble Approach for the Classification of Imbalanced Data
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
A Multi-view Approach for Relation Extraction
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Protein Fold Prediction Problem Using Ensemble of Classifiers
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Self-Organizing Neural Grove and Its Parallel and Distributed Performance
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Effect of Subsampling Rate on Subbagging and Related Ensembles of Stable Classifiers
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Resource-adaptive semantic concept detection using ensemble classifiers
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Human-competitive tagging using automatic keyphrase extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Improving the reliability of shape comparison by perturbation
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
A collaborative speech enhancement approach for speech recognition in motorcycle environment
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
A new supervised local modelling classifier based on information theory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A binary classification and online vision
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On the selection of decision trees in random forests
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Random subspaces of the instance and principal component spaces for ensembles
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Diversity exploration and negative correlation learning on imbalanced data sets
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
SERA: selectively recursive approach towards nonstationary imbalanced stream data mining
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Using diversity to handle concept drift in on-line learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Hardening adversarial prediction with anomaly tracking
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Expert Systems with Applications: An International Journal
Dynamic adaptive ensemble case-based reasoning: application to stock market prediction
Expert Systems with Applications: An International Journal
Optimal ensemble construction via meta-evolutionary ensembles
Expert Systems with Applications: An International Journal
Constructing response model using ensemble based on feature subset selection
Expert Systems with Applications: An International Journal
An evidential cooperative multi-agent system
Expert Systems with Applications: An International Journal
Fuzzy methods in machine learning and data mining: Status and prospects
Fuzzy Sets and Systems
Pixel-by-pixel base representation in image classification from Cherenkov telescopes
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
A Novel Weightless Artificial Neural Based Multi-Classifier for Complex Classifications
Neural Processing Letters
Artificial Intelligence Review
Early exit optimizations for additive machine learned ranking systems
Proceedings of the third ACM international conference on Web search and data mining
Taxonomy of directing semantics for film shot classification
IEEE Transactions on Circuits and Systems for Video Technology
A statistical diagnosis approach for analyzing design-silicon timing mismatch
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Bagging different instead of similar models for regression and classification problems
International Journal of Computer Applications in Technology
Multi-view forests based on Dempster-Shafer evidence theory: a new classifier ensemble method
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Correlation-based feature ranking for online classification
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A novel dynamic fusion method using localized generalization error model
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Ads-portal domains: Identification and measurements
ACM Transactions on the Web (TWEB)
GA-stacking: Evolutionary stacked generalization
Intelligent Data Analysis
Multi-dimensional data construction method with its application to learning from small-sample-sets
Intelligent Data Analysis
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
An application of automated reasoning in natural language question answering
AI Communications - Practical Aspects of Automated Reasoning
Dynamic three-bin real AdaBoost using biased classifiers: an application in face detection
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
On local intrinsic dimension estimation and its applications
IEEE Transactions on Signal Processing
Knowledge-Based Systems
Proceedings of the international conference on Multimedia information retrieval
Aspects in Information Modelling and Knowledge Bases Research
Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
Online adaptive policies for ensemble classifiers
Neurocomputing
Switching class labels to generate classification ensembles
Pattern Recognition
Bagging Constraint Score for feature selection with pairwise constraints
Pattern Recognition
Ensemble classification based on generalized additive models
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
A forecasting solution to the oil spill problem based on a hybrid intelligent system
Information Sciences: an International Journal
Predicting the potential habitat of oaks with data mining models and the R system
Environmental Modelling & Software
CSNL: A cost-sensitive non-linear decision tree algorithm
ACM Transactions on Knowledge Discovery from Data (TKDD)
Predicting trait impressions of faces using local face recognition techniques
Expert Systems with Applications: An International Journal
Evaluation of ensemble methods for diagnosing of valvular heart disease
Expert Systems with Applications: An International Journal
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
The Journal of Machine Learning Research
A Parameter-Free Classification Method for Large Scale Learning
The Journal of Machine Learning Research
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems
The Journal of Machine Learning Research
Model Selection: Beyond the Bayesian/Frequentist Divide
The Journal of Machine Learning Research
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
The Journal of Machine Learning Research
Learning an ensemble of semantic parsers for building dialog-based natural language interfaces
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Feature selection for bagging of support vector machines
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A novel support vector machine metamodel for business risk identification
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
On the size of a classification tree
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Coevolutionary feature learning for object recognition
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Averaged boosting: a noise-robust ensemble method
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Ensemble learning methods for classifying EEG signals
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Classifier ensembles for vector space embedding of graphs
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A combination of sample subsets and feature subsets in one-against-other classifiers
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Exploiting diversity in ensembles: improving the performance on unbalanced datasets
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Hierarchical behavior knowledge space
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
An experimental study on rotation forest ensembles
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Coevolution and linear genetic programming for visual learning
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Evolutionary computing as a tool for grammar development
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
LCSE: learning classifier system ensemble for incremental medical instances
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Analysis on a relation between enterprise profit and financial state by using data mining techniques
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
Resampling for face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Ensemble techniques for parallel genetic programming based classifiers
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
An empirical boosting scheme for ROC-based genetic programming classifiers
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Mining distributed evolving data streams using fractal GP ensembles
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Reducing the overconfidence of base classifiers when combining their decisions
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A sequential scheduling approach to combining multiple object classifiers using cross-entropy
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
The practical performance characteristics of tomographically filtered multiple classifier fusion
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Beam search extraction and forgetting strategies on shared ensembles
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A study of ensemble of hybrid networks with strong regularization
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Improving performance of a multiple classifier system using self-generating neural networks
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Ensemble construction via designed output distortion
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A new ensemble diversity measure applied to thinning ensembles
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Building classifier ensembles for automatic sports classification
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A novel support vector machine ensemble based on subtractive clustering analysis
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Incremental learning of support vector machines by classifier combining
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
An empirical evaluation of bagging in inductive logic programming
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Comparison of adaboost and genetic programming for combining neural networks for drug discovery
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Effective pruning method for a multiple classifier system based on self-generating neural networks
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
A comparison of model aggregation methods for regression
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
An approach for selective ensemble feature selection based on rough set theory
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
On combined classifiers, rule induction and rough sets
Transactions on rough sets VI
Fusion of self organizing maps
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
ViSOM ensembles for visualization and classification
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Combining SVM classifiers for email anti-spam filtering
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Knowledge based discovery in systems biology using CF-induction
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Boosting support vector machines using multiple dissimilarities
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Incremental learning with multiple classifier systems using correction filters for classification
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Combining bagging and random subspaces to create better ensembles
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Two bagging algorithms with coupled learners to encourage diversity
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations
IEEE Transactions on Fuzzy Systems
Proceedings of the 19th international conference on World wide web
Creating ensembles of classifiers via fuzzy clustering and deflection
Fuzzy Sets and Systems
A survey on the application of genetic programming to classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The impact of random samples in ensemble classifiers
Proceedings of the 2010 ACM Symposium on Applied Computing
Evolutionary model tree induction
Proceedings of the 2010 ACM Symposium on Applied Computing
The influence of diversity in an immune-based algorithm to train MLP networks
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Smooth component analysis as ensemble method for prediction improvement
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Neural network ensemble training by sequential interaction
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Some properties of the Gaussian kernel for one class learning
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Selection of decision stumps in bagging ensembles
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
An ensemble dependence measure
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Boosting unsupervised competitive learning ensembles
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Out of bootstrap estimation of generalization error curves in bagging ensembles
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Stop wasting time: on predicting the success or failure of learning for industrial applications
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Quality of adaptation of fusion ViSOM
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
On the combination of dissimilarities for gene expression data analysis
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Ensemble of dissimilarity based classifiers for cancerous samples classification
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Efficient multi-method rule learning for pattern classification machine learning and data mining
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
An evolutionary algorithm with spatially distributed surrogates for multiobjective optimization
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
New options for hoeffding trees
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Adaptive decision support for intensive care
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
A family of novel graph kernels for structural pattern recognition
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Bagging with asymmetric costs for misclassified and correctly classified examples
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Selective ensemble of decision trees
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Improving boosting by exploiting former assumptions
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Maps ensemble for semi-supervised learning of large high dimensional datasets
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Automatic recognition of hand gestures with differential evolution
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
An empirical study of the convergence of regionboost
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Towards a better understanding of random forests through the study of strength and correlation
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Local decision bagging of binary neural classifiers
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Bagging multiple comparisons from microarray data
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Ensemble methods to improve the performance of an English handwritten text line recognizer
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
A hybrid random subspace classifier fusion approach for protein mass spectra classification
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Seeing the forest through the trees: learning a comprehensible model from a first order ensemble
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Rule validation of a meta-classifier through a Galois (concept) lattice and complementary means
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
The effect of distance metrics on boosting with dynamic weighting schemes
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Evaluating machine learning techniques for automatic image annotations
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
A user driven data mining process model and learning system
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Fundamenta Informaticae - Intelligent Data Analysis in Granular Computing
Cooperative multiagent learning
Adaptive agents and multi-agent systems
Experimental evaluation of diversity measures of combined classifiers
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Multiple-view multiple-learner active learning
Pattern Recognition
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database
ACM SIGKDD Explorations Newsletter
When to choose an ensemble classifier model for data mining
International Journal of Business Intelligence and Data Mining
Sketching a methodology for efficient Supply Chain Management agents enhanced through Data Mining
International Journal of Intelligent Information and Database Systems
Improving generalization performance of bagging ensemble via Bayesian approach
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Dynamic classifier systems and their applications to random forest ensembles
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection
Pattern Recognition Letters
A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation
Proceedings of the ACM International Conference on Image and Video Retrieval
An ensemble-based evolutionary framework for coping with distributed intrusion detection
Genetic Programming and Evolvable Machines
Bagging based plankton image classification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Hierarchical distributed data classification in wireless sensor networks
Computer Communications
Information theoretic combination of pattern classifiers
Pattern Recognition
An asymmetric classifier based on partial least squares
Pattern Recognition
ENDER: a statistical framework for boosting decision rules
Data Mining and Knowledge Discovery
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Figure classification in biomedical literature to elucidate disease mechanisms, based on pathways
Artificial Intelligence in Medicine
Machine learning of clinical performance in a pancreatic cancer database
Artificial Intelligence in Medicine
A dynamic classifier ensemble selection approach for noise data
Information Sciences: an International Journal
New perspectives and methods in link prediction
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Combining predictions for accurate recommender systems
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to combine discriminative classifiers: confidence based
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Ensemble pruning via individual contribution ordering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Approximate Reasoning
CAFE: Collaboration Aimed at Finding Experts
International Journal of Knowledge and Web Intelligence
Learn++.MF: A random subspace approach for the missing feature problem
Pattern Recognition
A PSO-based weighting method for linear combination of neural networks
Computers and Electrical Engineering
Ensemble missing data techniques for software effort prediction
Intelligent Data Analysis
Decision forest for classification of gene expression data
Computers in Biology and Medicine
Stable rankings for different effort models
Automated Software Engineering
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Neural network ensembles: immune-inspired approaches to the diversity of components
Natural Computing: an international journal
Comparing combiner systems using diversity measures
SIP'10 Proceedings of the 9th WSEAS international conference on Signal processing
Discovering Piecewise Linear Models of Grid Workload
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
A meta-heuristic approach for improving the accuracy in some classification algorithms
Computers and Operations Research
Assessment of the influence of adaptive components in trainable surface inspection systems
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
A weighted voting summarization of SOM ensembles
Data Mining and Knowledge Discovery
The Knowledge Engineering Review
International Journal of Knowledge Engineering and Data Mining
Joint estimation of multiple clinical variables of neurological diseases from imaging patterns
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Brain decoding of FMRI connectivity graphs using decision tree ensembles
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Real-time detection of apneas on a PDA
IEEE Transactions on Information Technology in Biomedicine
Variable selection using random forests
Pattern Recognition Letters
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
Enhancing the classification accuracy by scatter-search-based ensemble approach
Applied Soft Computing
Products of random latent variable grammars
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Qme!: a speech-based question-answering system on mobile devices
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Distributed training strategies for the structured perceptron
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Fully unsupervised core-adjunct argument classification
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Fast and Scalable Local Kernel Machines
The Journal of Machine Learning Research
Expert Systems with Applications: An International Journal
A comparative assessment of ensemble learning for credit scoring
Expert Systems with Applications: An International Journal
Sparse ensembles using weighted combination methods based on linear programming
Pattern Recognition
Soft Nearest Convex Hull Classifier
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Artificial neural networks paddy-field classifier using spatiotemporal remote sensing data
Artificial Life and Robotics
Marginalized neural network mixtures for large-scale regression
IEEE Transactions on Neural Networks
Skew estimation of document images using bagging
IEEE Transactions on Image Processing
Expert Systems with Applications: An International Journal
An empirical evaluation of bagging and boosting
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Active learning with committees for text categorization
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Learning multiple models without sacrificing comprehensibility
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Selecting useful features for personal credit risk analysis
International Journal of Business Information Systems
Detecting nearly duplicated records in location datasets
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Self-training with products of latent variable grammars
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Improved fully unsupervised parsing with zoomed learning
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
K-farthest-neighbors-based concept boundary determination for support vector data description
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Mining data with random forests: A survey and results of new tests
Pattern Recognition
Review Article: Stable feature selection for biomarker discovery
Computational Biology and Chemistry
A low variance error boosting algorithm
Applied Intelligence
Translation model generalization using probability averaging for machine translation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Learning to predict readability using diverse linguistic features
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Bagged gene shaving for the robust clustering of high-throughput data
International Journal of Bioinformatics Research and Applications
ICADL'10 Proceedings of the role of digital libraries in a time of global change, and 12th international conference on Asia-Pacific digital libraries
RSCTC'2010 discovery challenge: mining DNA microarray data for medical diagnosis and treatment
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Ordinal classification with monotonicity constraints by variable consistency bagging
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
RANSAC-based training data selection for emotion recognition from spontaneous speech
Proceedings of the 3rd international workshop on Affective interaction in natural environments
Reduced Reward-punishment editing for building ensembles of classifiers
Expert Systems with Applications: An International Journal
Bootstrap feature selection for ensemble classifiers
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Storage device performance prediction with selective bagging classification and regression tree
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
Modular neuro-fuzzy systems based on generalized parametric triangular norms
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
A comparison of three voting methods for bagging with the MLEM2 algorithm
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Evolutionary learning of technical trading rules without data-mining bias
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
ImageCLEF 2009 medical image annotation task: PCTs for hierarchical multi-label classification
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Using machine learning to prescribe warfarin
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
On-line ensemble-teacher learning through a perceptron rule with a margin
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Incremental learning using self-organizing neural grove
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
The classification game: complexity regularization through interaction
COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems
Voting-averaged combination method for regressor ensemble
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
A linear combination of classifiers via rank margin maximization
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
PAGER: parameterless, accurate, generic, efficient kNN-based regression
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Weakly supervised classification of objects in images using soft random forests
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Leveraging bagging for evolving data streams
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Bagging for biclustering: application to microarray data
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Learning with ensembles of randomized trees: new insights
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Improving phone duration modelling using support vector regression fusion
Speech Communication
Passive steganalysis based on higher order image statistics of curvelet transform
International Journal of Automation and Computing
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Clustering of Adolescent Criminal Offenders using Psychological and Criminological Profiles
Proceedings of the 2010 conference on Data Mining for Business Applications
Adaptive learning of nominal concepts for supervised classification
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Using biased discriminant analysis for email filtering
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Noise detection for ensemble methods
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
A comparative study on the performance of several ensemble methods with low subsampling ratio
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Analysis of bagging ensembles of fuzzy models for premises valuation
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Point matching as a classification problem for fast and robust object pose estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Feature selection for classifying high-dimensional numerical data
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Random sampling LDA for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Random sampling based SVM for relevance feedback image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A data mining framework for detecting subscription fraud in telecommunication
Engineering Applications of Artificial Intelligence
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks
Neural Processing Letters
Fault diagnosis in assembly processes based on engineering-driven rules and PSOSAEN algorithm
Computers and Industrial Engineering
Active learning from stream data using optimal weight classifier ensemble
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Combining techniques for software quality classification: An integrated decision network approach
Expert Systems with Applications: An International Journal
Random one-dependence estimators
Pattern Recognition Letters
The construction of an individual credit risk assessment method: based on the combination algorithms
ICICA'10 Proceedings of the First international conference on Information computing and applications
On-line multi-view forests for tracking
Proceedings of the 32nd DAGM conference on Pattern recognition
1-vs-others rough decision forest
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Building a dynamic reputation system for DNS
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Fast meta-models for local fusion of multiple predictive models
Applied Soft Computing
Predicting stock returns by classifier ensembles
Applied Soft Computing
Ensemble classification of paired data
Computational Statistics & Data Analysis
Intelligent Data Analysis - Ubiquitous Knowledge Discovery
Automatic wrappers for large scale web extraction
Proceedings of the VLDB Endowment
Robust class similarity measure for traffic sign recognition
IEEE Transactions on Intelligent Transportation Systems
Mixing linear SVMs for nonlinear classification
IEEE Transactions on Neural Networks
An analysis of speaker recognition using bagging CAN2 and pole distribution of speech signals
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Non-uniform layered clustering for ensemble classifier generation and optimality
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Classifier fusion in the Dempster--Shafer framework using optimized t-norm based combination rules
International Journal of Approximate Reasoning
Greedy optimization classifiers ensemble based on diversity
Pattern Recognition
Word-based and character-based word segmentation models: comparison and combination
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Ensembles of probability estimation trees for customer churn prediction
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Random projections for SVM ensembles
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Rotation forest on microarray domain: PCA versus ICA
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
An empirical study of multilayer perceptron ensembles for regression tasks
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Domain driven data mining for unavailability estimation of electrical power grids
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Combining committee-based semi-supervised learning and active learning
Journal of Computer Science and Technology
Empirical evaluation of ranking prediction methods for gene expression data classification
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
A combination of classifiers for the pronominal anaphora resolution in Basque
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Incremental learning by heterogeneous bagging ensemble
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face recognition using ada-boosted gabor features
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Authentic facial expression analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Video event retrieval from a small number of examples using rough set theory
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Inference on the prediction of ensembles of infinite size
Pattern Recognition
FSR methods for second-order regression models
Computational Statistics & Data Analysis
Tree Decomposition for Large-Scale SVM Problems
The Journal of Machine Learning Research
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The Journal of Machine Learning Research
Extended decision template presentation for combining classifiers
Expert Systems with Applications: An International Journal
Small-sample error estimation for bagged classification rules
EURASIP Journal on Advances in Signal Processing - Special issue on genomic signal processing
Utilizing gestures to improve sentence boundary detection
Multimedia Tools and Applications
Learning random forests for ranking
Frontiers of Computer Science in China
Parallel boosted regression trees for web search ranking
Proceedings of the 20th international conference on World wide web
Pattern Recognition Letters
Spam detection in online classified advertisements
Proceedings of the 2011 Joint WICOW/AIRWeb Workshop on Web Quality
The application of vision algorithms to visual effects production
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Stitching algorithms for biological specimen images
International Journal of Computational Vision and Robotics
ACM Transactions on Asian Language Information Processing (TALIP)
A randomized model ensemble approach for reconstructing signals from faulty sensors
Expert Systems with Applications: An International Journal
Combining bagging, boosting, rotation forest and random subspace methods
Artificial Intelligence Review
Content-free collaborative learning modeling using data mining
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
A novel training weighted ensemble (TWE) with application to face recognition
Applied Soft Computing
An exploration of learning when data is noisy and imbalanced
Intelligent Data Analysis
Borderline over-sampling for imbalanced data classification
International Journal of Knowledge Engineering and Soft Data Paradigms
Cluster ensemble in adaptive tree structured clustering
International Journal of Knowledge Engineering and Soft Data Paradigms
Municipal revenue prediction by ensembles of neural networks and support vector machines
WSEAS Transactions on Computers
Polus: growing storage QoS management beyond a "four-year old kid"
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
Improving ion-sensitive field-effect transistor selectivity with backpropagation neural network
WSEAS Transactions on Circuits and Systems
Prototype reduction techniques: A comparison among different approaches
Expert Systems with Applications: An International Journal
A novel multi-view classifier based on Nyström approximation
Expert Systems with Applications: An International Journal
Intrusion detection and response system generator: using transferred belief model
AEE'05 Proceedings of the 4th WSEAS international conference on Applications of electrical engineering
Municipal revenue prediction by support vector machine ensembles
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Intrusion detection using neural based hybrid classification methods
Computer Networks: The International Journal of Computer and Telecommunications Networking
Inelligent ensemble system aids osteoporosis early detection
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
A comparison of soft fusion methods under different bagging scenarios
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Breast cancer diagnosis using neural-based linear fusion strategies
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Multi-degree prosthetic hand control using a new BP neural network
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
An empirical study of long-lived code clones
FASE'11/ETAPS'11 Proceedings of the 14th international conference on Fundamental approaches to software engineering: part of the joint European conferences on theory and practice of software
Bagging-based spectral clustering ensemble selection
Pattern Recognition Letters
Incremental learning with multi-level adaptation
Neurocomputing
Software defect detection with rocus
Journal of Computer Science and Technology
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Distributed denial of service attack detection using an ensemble of neural classifier
Computer Communications
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
Expert Systems with Applications: An International Journal
Poly-bagging predictors for classification modelling for credit scoring
Expert Systems with Applications: An International Journal
TransSearch: from a bilingual concordancer to a translation finder
Machine Translation
The noise identification method based on divergence analysis in ensemble methods context
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Estimation of optimal sample size of decision forest with SVM using embedded cross-validation method
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Empirical comparison of bagging ensembles created using weak learners for a regression problem
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
A new co-training-style random forest for computer aided diagnosis
Journal of Intelligent Information Systems
Random projections for linear SVM ensembles
Applied Intelligence
A novel multi-view learning developed from single-view patterns
Pattern Recognition
Hierarchical annotation of medical images
Pattern Recognition
A probabilistic model of classifier competence for dynamic ensemble selection
Pattern Recognition
Flexible learning of k-dependence Bayesian network classifiers
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Optimizing stacking ensemble by an ant colony optimization approach
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Semisupervised condensed nearest neighbor for part-of-speech tagging
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Supervised and semi-supervised online boosting tree for industrial machine vision application
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Artificial Intelligence in Medicine
An integrative approach for genomic island prediction in Prokaryotic genomes
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
A novel classifier ensemble method based on class weightening in huge dataset
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
The design of evolutionary multiple classifier system for the classification of microarray data
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Bagging gradient-boosted trees for high precision, low variance ranking models
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Integrating hierarchical feature selection and classifier training for multi-label image annotation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Design of ensemble neural network using entropy theory
Advances in Engineering Software
Random ensemble decision trees for learning concept-drifting data streams
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
A principled evaluation of ensembles of learning machines for software effort estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Studying the fix-time for bugs in large open source projects
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Data-driven multi-touch attribution models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Selective block minimization for faster convergence of limited memory large-scale linear models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Meta optimization and its application to portfolio selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A machine learning approach to relational noun mining in German
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
Empirical comparison of resampling methods using genetic neural networks for a regression problem
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Clustering ensemble for spam filtering
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
RKOF: robust kernel-based local outlier detection
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Sample subset optimization for classifying imbalanced biological data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Multi-agent based classification using argumentation from experience
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Rotation forest with GEP-induced expression trees
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Early pigmentary retinosis diagnostic based on classification trees
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Studying the hybridization of artificial neural networks in HECIC
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Hybrid artificial neural networks: models, algorithms and data
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Supporting system for detecting pathologies
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Testing ensembles for intrusion detection: On the identification of mutated network scans
CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
Comprehensive PMML preprocessing in KNIME
Proceedings of the 2011 workshop on Predictive markup language modeling
A high-order feature synthesis and selection algorithm applied to insurance risk modelling
International Journal of Business Intelligence and Data Mining
Using ensembles of regression trees to monitor lubricating oil quality
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Classifier selection by clustering
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Ensemble of classifiers based on hard instances
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
An ensemble of degraded neural networks
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Comparison of ensemble classifiers in extracting synonymous Chinese transliteration pairs from web
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
A new adaptive framework for classifier ensemble in multiclass large data
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
Ensemble-teacher learning through a perceptron rule with a margin
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Where to find my next passenger
Proceedings of the 13th international conference on Ubiquitous computing
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
An ensemble of filters and classifiers for microarray data classification
Pattern Recognition
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
A bounded version of online boosting on open-ended data streams
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
A heuristic classifier ensemble for huge datasets
AMT'11 Proceedings of the 7th international conference on Active media technology
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Ensemble pruning via base-classifier replacement
WAIM'11 Proceedings of the 12th international conference on Web-age information management
On some method for limited services selection
International Journal of Intelligent Information and Database Systems
Empirical comparison of resampling methods using genetic fuzzy systems for a regression problem
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
A novel ensemble algorithm for biomedical classification based on Ant Colony Optimization
Applied Soft Computing
An experimental study of one- and two-level classifier fusion for different sample sizes
Pattern Recognition Letters
Music classification via the bag-of-features approach
Pattern Recognition Letters
Boosting binding sites prediction using gene's positions
WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
A dynamic logistic multiple classifier system for online classification
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Ensemble methods for reinforcement learning with function approximation
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
GRASP forest: a new ensemble method for trees
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Ensembles of decision trees for imbalanced data
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Pruned random subspace method for one-class classifiers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Approximate convex hulls family for one-class classification
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Bagging classifiers for fighting poisoning attacks in adversarial classification tasks
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A new classifier ensembles framework
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Features selection in character recognition with random forest classifier
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Investigation of random subspace and random forest methods applied to property valuation data
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Towards a brain-sensitive intelligent tutoring system: detecting emotions from brainwaves
Advances in Artificial Intelligence
A general system for automatic biomedical image segmentation using intensity neighborhoods
Journal of Biomedical Imaging
Random feature weights for decision tree ensemble construction
Information Fusion
A multilevel information fusion approach for visual quality inspection
Information Fusion
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
A new metric for greedy ensemble pruning
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
MBIA'11 Proceedings of the First international conference on Multimodal brain image analysis
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Severe sepsis mortality prediction with logistic regression over latent factors
Expert Systems with Applications: An International Journal
Rule stacking: an approach for compressing an ensemble of rule sets into a single classifier
DS'11 Proceedings of the 14th international conference on Discovery science
Holistic approaches to identifying the sentiment of blogs using opinion words
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Robust classification ensemble method for microarray data
International Journal of Data Mining and Bioinformatics
Semi-supervised classification based on random subspace dimensionality reduction
Pattern Recognition
Degradation process prediction for rotational machinery based on hybrid intelligent model
Robotics and Computer-Integrated Manufacturing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Multiple classifier systems for the classificatio of audio-visual emotional states
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Self-adaptation of parameters in a learning classifier system ensemble machine
International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
Multiple-View Multiple-Learner Semi-Supervised Learning
Neural Processing Letters
Towards Non-Stationary Grid Models
Journal of Grid Computing
Empirical comparison of four classifier fusion strategies for positive-versus-negative ensembles
Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment
Application of machine learning methods to spatial interpolation of environmental variables
Environmental Modelling & Software
Environmental Modelling & Software
Inductive policy selection for first-order MDPs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Using model trees and their ensembles for imbalanced data
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Multi-task drug bioactivity classification with graph labeling ensembles
PRIB'11 Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics
Heat diffusion based dissimilarity analysis for schizophrenia classification
PRIB'11 Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics
An efficient local region and clustering-based ensemble system for intrusion detection
Proceedings of the 15th Symposium on International Database Engineering & Applications
Predict on-shelf product availability in grocery retailing with classification methods
Expert Systems with Applications: An International Journal
Using OVA modeling to improve classification performance for large datasets
Expert Systems with Applications: An International Journal
GP ensemble for distributed intrusion detection systems
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Empirical study on weighted voting multiple classifiers
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
A novel hierarchical document clustering algorithm based on a kNN connection graph
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Aggregating regressive estimators: gradient-based neural network ensemble
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Decision forests with oblique decision trees
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Large Linear Classification When Data Cannot Fit in Memory
ACM Transactions on Knowledge Discovery from Data (TKDD)
Prediction-based regularization using data augmented regression
Statistics and Computing
Unsupervised Weight Parameter Estimation Method for Ensemble Learning
Journal of Mathematical Modelling and Algorithms
Automatic recognition of landforms on mars using terrain segmentation and classification
DS'06 Proceedings of the 9th international conference on Discovery Science
Symmetries from uniform space covering in stochastic discrimination
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Prediction improvement via smooth component analysis and neural network mixing
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Negatively correlated neural network ensemble with multi-population particle swarm optimization
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
The bounds on the rate of uniform convergence for learning machine
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
A cascaded ensemble learning for independent component analysis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Cascade evaluation of clustering algorithms
ECML'06 Proceedings of the 17th European conference on Machine Learning
Classification with support hyperplanes
ECML'06 Proceedings of the 17th European conference on Machine Learning
Bagging using statistical queries
ECML'06 Proceedings of the 17th European conference on Machine Learning
Proximal SVM ensemble based on feature selection
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Using PCA-Based neural network committee model for early warning of bank failure
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Some comments on error correcting output codes
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
A classifier ensemble method for fuzzy classifiers
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Robust analysis of silhouettes by morphological size distributions
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Multiple feature domains information fusion for computer-aided clinical electromyography
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
Classification of brain glioma by using SVMs bagging with feature selection
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
Constructive meta-level feature selection method based on method repositories
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Variable randomness in decision tree ensembles
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Further improving emerging pattern based classifiers via bagging
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Improving on bagging with input smearing
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Bagging model trees for classification problems
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Efficient learning by combining confidence-rated classifiers to incorporate unlabeled medical data
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
HiPC'05 Proceedings of the 12th international conference on High Performance Computing
Evaluating predictive uncertainty challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Many are better than one: improving probabilistic estimates from decision trees
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Local additive regression of decision stumps
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Dynamic ensemble re-construction for better ranking
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
STochFS: a framework for combining feature selection outcomes through a stochastic process
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Moderated innovations in self-poised ensemble learning
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Using ensemble method to improve the performance of genetic algorithm
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Resampling LDA/QR and PCA+LDA for face recognition
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Ensemble LDA for face recognition
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Fingerprint authentication based on matching scores with other data
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
GA SVM wrapper ensemble for keystroke dynamics authentication
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Model trees for classification of hybrid data types
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Improving ensembles with classificational cellular automata
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Combining labeled and unlabeled data for learning cross-document structural relationships
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Towards automatic classification of 3-d museum artifacts using ontological concepts
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Estimation of the future earthquake situation by using neural networks ensemble
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Two credit scoring models based on dual strategy ensemble trees
Knowledge-Based Systems
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Computers and Electronics in Agriculture
A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
Expert Systems with Applications: An International Journal
Bucket Learning: Improving model quality through enhancing local patterns
Knowledge-Based Systems
Strengthening learning algorithms by feature discovery
Information Sciences: an International Journal
1-norm support vector machine for college drinking risk factor identification
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Neural network metalearning for credit scoring
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Subnet weight modification algorithm for ensemble
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Comparing meta-learning algorithms
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
On a unified framework for sampling with and without replacement in decision tree ensembles
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Automated abduction for computer forensics
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
A framework for 3d object recognition using the kernel constrained mutual subspace method
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Automatic classification of handsegmented image parts with differential evolution
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Combination of multiple nearest neighbor classifiers based on feature subset clustering method
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Support vector machines ensemble based on fuzzy integral for classification
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Ensemble learning for keyphrases extraction from scientific document
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A bias-variance-complexity trade-off framework for complex system modeling
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
An evolutionary and attribute-oriented ensemble classifier
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Mining direct marketing data by ensembles of weak learners and rough set methods
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Integrating local one-class classifiers for image retrieval
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Customer churn prediction by hybrid model
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning
Neural Processing Letters
Hellinger distance decision trees are robust and skew-insensitive
Data Mining and Knowledge Discovery
Greener aviation with virtual sensors: a case study
Data Mining and Knowledge Discovery
Estimating the risk of fire outbreaks in the natural environment
Data Mining and Knowledge Discovery
Building ensembles of neural networks with class-switching
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Variable consistency bagging ensembles
Transactions on Rough Sets XI
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Sampling of virtual examples to improve classification accuracy for nominal attribute data
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Statistical methods for data mining and knowledge discovery
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
Correlation-based and causal feature selection analysis for ensemble classifiers
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
On selecting additional predictive models in double bagging type ensemble method
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
Using rotation forest for protein fold prediction problem: an empirical study
EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Dynamic and static weighting in classifier fusion
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Detector of image orientation based on borda-count
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Email categorization with tournament methods
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Study of ensemble strategies in discovering linear causal models
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
A novel ensemble decision tree approach for mining genes coding ion channels for cardiopathy subtype
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
ML-CIDIM: multiple layers of multiple classifier systems based on CIDIM
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Constructing rough decision forests
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Ensemble learning with supervised kernels
ECML'05 Proceedings of the 16th European conference on Machine Learning
ECML'05 Proceedings of the 16th European conference on Machine Learning
Error-sensitive grading for model combination
ECML'05 Proceedings of the 16th European conference on Machine Learning
Combining bias and variance reduction techniques for regression trees
ECML'05 Proceedings of the 16th European conference on Machine Learning
A subject transfer framework for EEG classification
Neurocomputing
Mixture of gaussian processes for combining multiple modalities
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Using decision tree models and diversity measures in the selection of ensemble classification models
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Design of multiple classifier systems for time series data
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Ensemble learning with biased classifiers: the Triskel algorithm
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Cluster-Based cumulative ensembles
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Data partitioning evaluation measures for classifier ensembles
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Dynamics of variance reduction in bagging and other techniques based on randomisation
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Using an ensemble of classifiers to audit a production classifier
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Face recognition with the multiple constrained mutual subspace method
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A classification approach to multi-biometric score fusion
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Succinct and informative cluster descriptions for document repositories
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Tissue classification using gene expression data and artificial neural network ensembles
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Improving customer experience via text mining
DNIS'05 Proceedings of the 4th international conference on Databases in Networked Information Systems
Inducing diverse decision forests with genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Cancer prediction using diversity-based ensemble genetic programming
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Sampling ensembles for frequent patterns
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Neural networks combination by fuzzy integral in clinical electromyography
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Understanding patterns with different subspace classification
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Bagging random trees for estimation of tissue softness
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
E-CIDIM: ensemble of CIDIM classifiers
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Robust ensemble learning for cancer diagnosis based on microarray data classification
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Graph matching – challenges and potential solutions
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Machine learning on historic air photographs for mapping risk of unexploded bombs
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Classification of natural images using supervised and unsupervised classifier combinations
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Text categorization using SVMs with rocchio ensemble for internet information classification
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
An ensemble of case-based classifiers for high-dimensional biological domains
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Comparison of tree based methods on mammography data
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Maximizing tree diversity by building complete-random decision trees
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Applying stacking and corpus transformation to a chunking task
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Machine-Learning with cellular automata
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
On hybrid classification using model assisted posterior estimates
Pattern Recognition
Novel ensemble methods for regression via classification problems
Expert Systems with Applications: An International Journal
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Using artificial neural network ensembles to extract data content from noisy data
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Computing confidence measures in stochastic logic programs
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Ensemble learning based on multi-task class labels
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Generating diverse ensembles to counter the problem of class imbalance
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Ensemble algorithms for feature selection
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Twitter catches the flu: detecting influenza epidemics using Twitter
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Improving statistical word alignment with ensemble methods
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A hybrid classification approach to ultrasonic shaft signals
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A parallel learning approach for neural network ensemble
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Using prosody for automatic sentence segmentation of multi-party meetings
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Derivation of an artificial gene to improve classification accuracy upon gene selection
Computational Biology and Chemistry
Computational Biology and Chemistry
One-against-all ensemble for multiclass pattern classification
Applied Soft Computing
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Feature selection for improved phone duration modeling of greek emotional speech
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Multivariate discretization for associative classification in a sparse data application domain
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Application of mixture of experts to construct real estate appraisal models
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
A bio-inspired fusion method for data visualization
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Using restrictive classification and meta classification for junk elimination
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Selective SVMs ensemble driven by immune clonal algorithm
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Expert Systems with Applications: An International Journal
Bagging schemes on the presence of class noise in classification
Expert Systems with Applications: An International Journal
A mixture of experts for classifying sleep apneas
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Improved response modeling based on clustering, under-sampling, and ensemble
Expert Systems with Applications: An International Journal
Recursive partitioning on incomplete data using surrogate decisions and multiple imputation
Computational Statistics & Data Analysis
Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm
Computational Statistics & Data Analysis
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition
Computers & Mathematics with Applications
Enhancing SNNB with local accuracy estimation and ensemble techniques
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Question answering for spanish supported by lexical context annotation
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Spiculated lesion detection in digital mammogram based on artificial neural network ensemble
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Bias and variance of rotation-based ensembles
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Dichotomization of ICU length of stay based on model calibration
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Effective confidence region prediction using probability forecasters
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
An experiment with association rules and classification: post-bagging and conviction
DS'05 Proceedings of the 8th international conference on Discovery Science
A method for optimal division of data sets for use in neural networks
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Modelling metabolic pathways using stochastic logic programs-based ensemble methods
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
Event retrieval in video archives using rough set theory and partially supervised learning
Multimedia Tools and Applications
Supervised subspace projections for constructing ensembles of classifiers
Information Sciences: an International Journal
Margin distribution based bagging pruning
Neurocomputing
Consistency and asymptotic normality of FastICA and bootstrap FastICA
Signal Processing
Semi-supervised ensemble classification in subspaces
Applied Soft Computing
Oracle coached decision trees and lists
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
On the use of selective ensembles for relevance classification in case-based web search
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Coupling adaboost and random subspace for diversified fisher linear discriminant
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Feature selection using SVM probabilistic outputs
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Outlier resistant PCA ensembles
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Time series data classification using recurrent neural network with ensemble learning
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Comparing ensembles of learners: detecting prostate cancer from high resolution MRI
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Large margin classifiers and Random Forests for integrated biological prediction
International Journal of Bioinformatics Research and Applications
Training regression ensembles by sequential target correction and resampling
Information Sciences: an International Journal
Selective voting in convex-hull ensembles improves classification accuracy
Artificial Intelligence in Medicine
Boost feature subset selection: a new gene selection algorithm for microarray dataset
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Genetically evolved trees representing ensembles
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Ensemble prediction of commercial bank failure through diversification of input features
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Clustering data manipulation method for ensembles
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Generalized unified decomposition of ensemble loss
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Bagging decision trees on data sets with classification noise
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Weighted bagging for graph based one-class classifiers
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Multiple classifier systems under attack
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
A double pruning algorithm for classification ensembles
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
ETL ensembles for chunking, NER and SRL
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Handling different categories of concept drifts in data streams using distributed GP
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Using imaginary ensembles to select GP classifiers
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Introducing reordering algorithms to classic well-known ensembles to improve their performance
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Improving boosting methods by generating specific training and validation sets
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Using Bagging and Cross-Validation to improve ensembles based on penalty terms
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Pruning adaptive boosting ensembles by means of a genetic algorithm
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Local negative correlation with resampling
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Maximum likelihood topology preserving ensembles
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Self-organizing neural grove and its distributed performance
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
A scalable heuristic classifier for huge datasets: a theoretical approach
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Evaluation of particle swarm optimization effectiveness in classification
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Integrated protein interaction networks for 11 microbes
RECOMB'06 Proceedings of the 10th annual international conference on Research in Computational Molecular Biology
ACM Transactions on Information Systems (TOIS)
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
Expert Systems with Applications: An International Journal
Exploring the behaviour of base classifiers in credit scoring ensembles
Expert Systems with Applications: An International Journal
Classification of vehicle type and make by combined features and random subspace ensemble
International Journal of Computational Vision and Robotics
Constraint based induction of multi-objective regression trees
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Automatic document organization in a p2p environment
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Identifying feature relevance using a random forest
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
CCC: classifier combination via classifier
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Ensemble learning for customers targeting
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Improving bagging performance through multi-algorithm ensembles
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment
Proceedings of the 21st international conference on World Wide Web
Vertex collocation profiles: subgraph counting for link analysis and prediction
Proceedings of the 21st international conference on World Wide Web
The discovery and use of ordinal information on attribute values in classifier learning
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Semi-random model tree ensembles: an effective and scalable regression method
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
An empirical evaluation of bagging with different algorithms on imbalanced data
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Ensemble pruning for text categorization based on data partitioning
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
From cluster ensemble to structure ensemble
Information Sciences: an International Journal
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
Diagnosing Breast Masses in Digital Mammography Using Feature Selection and Ensemble Methods
Journal of Medical Systems
Double-layer bayesian classifier ensembles based on frequent itemsets
International Journal of Automation and Computing
The sum is greater than the parts: ensembling models of student knowledge in educational software
ACM SIGKDD Explorations Newsletter
An associative memory approach to medical decision support systems
Computer Methods and Programs in Biomedicine
Predictive analytics in information systems research
MIS Quarterly
Large-scale machine learning at twitter
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
Not so greedy: Randomly Selected Naive Bayes
Expert Systems with Applications: An International Journal
Two-level classifier ensembles for credit risk assessment
Expert Systems with Applications: An International Journal
ADA'04 Proceedings of the 3rd international conference on Astronomical Data Analysis
A model for single and multiple knowledge based networks
Artificial Intelligence in Medicine
Explaining the output of ensembles in medical decision support on a case by case basis
Artificial Intelligence in Medicine
Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy
Artificial Intelligence in Medicine
Lung cancer cell identification based on artificial neural network ensembles
Artificial Intelligence in Medicine
A fast subspace text categorization method using parallel classifiers
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
DRFLogitBoost: a double randomized decision forest incorporated with logitboosted decision stumps
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool
Expert Systems with Applications: An International Journal
Editors Choice Article: I2VM: Incremental import vector machines
Image and Vision Computing
A hybrid KMV model, random forests and rough set theory approach for credit rating
Knowledge-Based Systems
A genetic algorithm for Hierarchical Multi-Label Classification
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Classifying G-protein coupled receptors with bagging classification tree
Computational Biology and Chemistry
Integration of intelligent information technologies ensembles for modeling and classification
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Ensemble pruning using harmony search
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
A hybrid segmentation of abdominal CT images
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Modifications of classification strategies in rule set based bagging for imbalanced data
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
International Journal of Intelligent Systems in Accounting and Finance Management
An efficient ensemble classification method based on novel classifier selection technique
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Post mining of diversified multiple decision trees for actionable knowledge discovery
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
Energy-Based metric for ensemble selection
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Evolutionary regression machines for precision agriculture
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Data-driven modeling of surface temperature anomaly and solar activity trends
Environmental Modelling & Software
Ensemble methods for biclustering tasks
Pattern Recognition
Biclustering-driven ensemble of Bayesian belief network classifiers for underdetermined problems
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Using multiple models to understand data
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Large linear classification when data cannot fit in memory
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Expert Systems with Applications: An International Journal
A statistical approach to growing a reliable honest tree
Computational Statistics & Data Analysis
Computation, reduction, and teleology of consciousness
Cognitive Systems Research
Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays
Computers in Biology and Medicine
The build of n-Bits Binary Coding ICBP Ensemble System
Neurocomputing
Statistical Analysis and Data Mining
Model selection for a medical diagnostic decision support system: a breast cancer detection case
Artificial Intelligence in Medicine
Stability problems with artificial neural networks and the ensemble solution
Artificial Intelligence in Medicine
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
International Journal of Computer Vision
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Fusion of biometric systems using Boolean combination: an application to iris-based authentication
International Journal of Biometrics
A genetic algorithm for designing neural network ensembles
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Surrogate modeling in the evolutionary optimization of catalytic materials
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Acute leukemia classification by ensemble particle swarm model selection
Artificial Intelligence in Medicine
iTree: efficiently discovering high-coverage configurations using interaction trees
Proceedings of the 34th International Conference on Software Engineering
Nowcasting Events from the Social Web with Statistical Learning
ACM Transactions on Intelligent Systems and Technology (TIST)
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration
ACM Transactions on Intelligent Systems and Technology (TIST)
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
Personalization and user verification in wearable systems using biometric walking patterns
Personal and Ubiquitous Computing
Fast shared boosting for large-scale concept detection
Multimedia Tools and Applications
Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts
Neural Processing Letters
Investigation of rotation forest method applied to property price prediction
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Instance-Specific algorithm configuration as a method for non-model-based portfolio generation
CPAIOR'12 Proceedings of the 9th international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Building decision trees for the multi-class imbalance problem
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Hybrid random forests: advantages of mixed trees in classifying text data
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Heterogeneous ensemble for feature drifts in data streams
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Hierarchical linear support vector machine
Pattern Recognition
Analysis of a random forests model
The Journal of Machine Learning Research
Modelling and optimizing the process of learning mathematics
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Smooth component analysis and MSE decomposition for ensemble methods
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Predicting quality flaws in user-generated content: the case of wikipedia
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Fault classification and accommodation in shipboard power systems
GCMS '09 Proceedings of the 2009 Grand Challenges in Modeling & Simulation Conference
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
Expert Systems with Applications: An International Journal
Customer event history for churn prediction: How long is long enough?
Expert Systems with Applications: An International Journal
Sequential manifold learning for efficient churn prediction
Expert Systems with Applications: An International Journal
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
How many trees in a random forest?
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Content independent metadata production as a machine learning problem
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Application of bagging, boosting and stacking to intrusion detection
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions
Fundamenta Informaticae - Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)
Tri-training based on neural network ensemble algorithm
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A hierarchical neural network architecture for classification
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Selective ensemble of support vector data descriptions for novelty detection
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Predicting warfarin dosage from clinical data: A supervised learning approach
Artificial Intelligence in Medicine
Dynamic fusion method using Localized Generalization Error Model
Information Sciences: an International Journal
Feature Selection Algorithm for Multiple Classifier Systems: A Hybrid Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Learning from Skewed Class Multi-relational Databases
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Bagged nonlinear hebbian learning algorithm for fuzzy cognitive maps working on classification tasks
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
A heuristic diversity production approach
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Analysis and detection of web spam by means of web content
IRFC'12 Proceedings of the 5th conference on Multidisciplinary Information Retrieval
A competition strategy to cost-sensitive decision trees
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
RSGALS-SVM: random subspace method applied to a LS-SVM ensemble optimized by genetic algorithm
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Ensemble methods for prediction of parkinson disease
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Root attribute behavior within a random forest
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Combining heterogeneous classifiers for relational databases
Pattern Recognition
Journal of Biomedical Informatics
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Expert Systems with Applications: An International Journal
Statistical cross-language Web content quality assessment
Knowledge-Based Systems
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
SAS+ planning as satisfiability
Journal of Artificial Intelligence Research
Fusion of feature sets and classifiers for facial expression recognition
Expert Systems with Applications: An International Journal
Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine
Expert Systems with Applications: An International Journal
Ensemble-based regression analysis of multimodal medical data for osteopenia diagnosis
Expert Systems with Applications: An International Journal
Structural and temporal inference search (STIS): pattern identification in multimodal data
Proceedings of the 14th ACM international conference on Multimodal interaction
Learning speaker, addressee and overlap detection models from multimodal streams
Proceedings of the 14th ACM international conference on Multimodal interaction
Using data mining to enable integration of wind resources on the power grid
Statistical Analysis and Data Mining
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
A meta learning approach to grammatical error correction
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Domain adaptation for coreference resolution: an adaptive ensemble approach
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
A novel discriminative framework for sentence-level discourse analysis
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Analyzing patient records to establish if and when a patient suffered from a medical condition
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Empirical study of Software Quality estimation
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Interactive data-driven discovery of temporal behavior models from events in media streams
Proceedings of the 20th ACM international conference on Multimedia
Malicious codes detection based on ensemble learning
ATC'07 Proceedings of the 4th international conference on Autonomic and Trusted Computing
An analysis of how ensembles of collective classifiers improve predictions in graphs
Proceedings of the 21st ACM international conference on Information and knowledge management
Metaphor: a system for related search recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
Identifying helpful online reviews: A product designer's perspective
Computer-Aided Design
Computer Methods and Programs in Biomedicine
An iterative approach to build relevant ontology-aware data-driven models
Information Sciences: an International Journal
A novel local patch framework for fixing supervised learning models
Proceedings of the 21st ACM international conference on Information and knowledge management
Multi-label ensemble based on variable pairwise constraint projection
Information Sciences: an International Journal
Tree ensembles for predicting structured outputs
Pattern Recognition
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
Detection of CAN by ensemble classifiers based on ripple down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Evolving femtocell algorithms with dynamic and stationary training scenarios
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Ensemble partitioning for unsupervised image categorization
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Minimal correlation classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
New machine learning algorithm: random forest
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
An attempt to employ genetic fuzzy systems to predict from a data stream of premises transactions
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Diversity regularized ensemble pruning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Stability-based model selection for high throughput genomic data: an algorithmic paradigm
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Random subspace method and genetic algorithm applied to a LS-SVM ensemble
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
New dynamic classifiers selection approach for handwritten recognition
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
A new neural data analysis approach using ensemble neural network rule extraction
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Dual support vector domain description for imbalanced classification
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Supervised patient similarity measure of heterogeneous patient records
ACM SIGKDD Explorations Newsletter
Decision tree selection in an industrial machine fault diagnostics
MEDI'12 Proceedings of the 2nd international conference on Model and Data Engineering
International Journal of Intelligent Systems in Accounting and Finance Management
A new variable selection approach using Random Forests
Computational Statistics & Data Analysis
Error-correcting output codes based ensemble feature extraction
Pattern Recognition
A social approach for learning agents
Expert Systems with Applications: An International Journal
Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction
Knowledge-Based Systems
Differential Evolution for automatic rule extraction from medical databases
Applied Soft Computing
Rice diseases classification using feature selection and rule generation techniques
Computers and Electronics in Agriculture
A Knowledge Model Sharing Based Approach to Privacy-Preserving Data Mining
Transactions on Data Privacy
International Journal of Automation and Computing
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
A simple genetic algorithm for biomarker mining
PRIB'12 Proceedings of the 7th IAPR international conference on Pattern Recognition in Bioinformatics
Classifier ensemble using a heuristic learning with sparsity and diversity
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
GARF: towards self-optimised random forests
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Rule extraction from ensemble methods using aggregated decision trees
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Exploiting unlabeled data to enhance ensemble diversity
Data Mining and Knowledge Discovery
Virtual equipment for benchmarking predictive maintenance algorithms
Proceedings of the Winter Simulation Conference
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
How large should ensembles of classifiers be?
Pattern Recognition
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
Projective clustering ensembles
Data Mining and Knowledge Discovery
Predicting content change on the web
Proceedings of the sixth ACM international conference on Web search and data mining
Expert Systems with Applications: An International Journal
Bagging and Boosting statistical machine translation systems
Artificial Intelligence
A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory
International Journal of Cognitive Informatics and Natural Intelligence
Predicting shellfish farm closures with class balancing methods
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Bagging ensemble selection for regression
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
A multi-tier ensemble construction of classifiers for phishing email detection and filtering
CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security
Ant colony decision forest meta-ensemble
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Intelligent Decision Support System for Osteoporosis Prediction
International Journal of Intelligent Information Technologies
Using multi decision tree technique to improving decision tree classifier
International Journal of Business Intelligence and Data Mining
Information Sciences: an International Journal
Information Sciences: an International Journal
A Multi-Expert System for chlorine electrolyzer monitoring
Expert Systems with Applications: An International Journal
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
Knowledge-Based Systems
An ensemble of decision cluster crotches for classification of high dimensional data
Knowledge-Based Systems
Quality of Experience Models for Multimedia Streaming
International Journal of Mobile Computing and Multimedia Communications
Cost-Sensitive Learning via Priority Sampling to Improve the Return on Marketing and CRM Investment
Journal of Management Information Systems
LBR-Meta: an efficient algorithm for lazy Bayesian rules
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Classification of brain-computer interface data
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Ensemble of diversely trained support vector machines for protein fold recognition
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Computer Vision and Image Understanding
Margin-based ordered aggregation for ensemble pruning
Pattern Recognition Letters
Engineering Applications of Artificial Intelligence
Randomness and sparsity induced codebook learning with application to cancer image classification
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Clustering with Extended Constraints by Co-Training
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Decision trees: a recent overview
Artificial Intelligence Review
Training efficient tree-based models for document ranking
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Qualitative activity recognition of weight lifting exercises
Proceedings of the 4th Augmented Human International Conference
Local discriminative distance metrics ensemble learning
Pattern Recognition
Hybrid modeling of spatial continuity for application to numerical inverse problems
Environmental Modelling & Software
Wavelet neural networks: A practical guide
Neural Networks
Expert Systems with Applications: An International Journal
Learning regression ensembles with genetic programming at scale
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Fast instance selection for speeding up support vector machines
Knowledge-Based Systems
Inter-training: Exploiting unlabeled data in multi-classifier systems
Knowledge-Based Systems
A hierarchical clusterer ensemble method based on boosting theory
Knowledge-Based Systems
Context-Aware predictions on business processes: an ensemble-based solution
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Investigation of random subspace and random forest regression models using data with injected noise
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Bagged Clustering and its application to tourism market segmentation
Expert Systems with Applications: An International Journal
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Outlier ensembles: position paper
ACM SIGKDD Explorations Newsletter
A diversity production approach in ensemble of base classifiers
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Robust multiple-instance learning with superbags
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A bootstrapping approach to reduce over-fitting in genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Towards a method for automatically evolving bayesian network classifiers
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Empirical study of bagging predictors on medical data
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Improving search result summaries by using searcher behavior data
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Mining touch interaction data on mobile devices to predict web search result relevance
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
The predictive value of young and old links in a social network
Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks
Effect of ensemble classifier composition on offline cursive character recognition
Information Processing and Management: an International Journal
Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables
Computational Statistics & Data Analysis
An integrated framework for suicide risk prediction
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting group stability in online social networks
Proceedings of the 22nd international conference on World Wide Web
A data mining approach for diagnosis of coronary artery disease
Computer Methods and Programs in Biomedicine
Detection of StegoBot: a covert social network botnet
Proceedings of the First International Conference on Security of Internet of Things
Encoding through patterns: Regression tree-based neuronal population models
Neural Computation
Computers in Biology and Medicine
Comparison of methods for the selection of genomic biomarkers
International Journal of Data Mining and Bioinformatics
The impact of parameter tuning on software effort estimation using learning machines
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Active learning and inference method for within network classification
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Statistical shape model for manifold regularization: Gleason grading of prostate histology
Computer Vision and Image Understanding
Long-memory time series ensembles for concept shift detection
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Review: Data-derived soft-sensors for biological wastewater treatment plants: An overview
Environmental Modelling & Software
Recursive partitioning techniques for modeling irrigation behavior
Environmental Modelling & Software
Data weighing mechanisms for clustering ensembles
Computers and Electrical Engineering
Multi-feature canonical correlation analysis for face photo-sketch image retrieval
Proceedings of the 21st ACM international conference on Multimedia
The Journal of Machine Learning Research
Multi-target regression with rule ensembles
The Journal of Machine Learning Research
Evaluating perceptual video quality for mobile clients in 802.11n WLAN
Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
Input Space Partitioning for Neural Network Learning
International Journal of Applied Evolutionary Computation
On the effect of calibration in classifier combination
Applied Intelligence
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Engineering Applications of Artificial Intelligence
INFORMS Journal on Computing
Evaluating data mining algorithms using molecular dynamics trajectories
International Journal of Data Mining and Bioinformatics
Protein fold recognition with a two-layer method based on SVM-SA, WP-NN and C4.5 TLM-SNC
International Journal of Data Mining and Bioinformatics
A boosted SVM based sentiment analysis approach for online opinionated text
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Pattern Recognition
Malware detection by pruning of parallel ensembles using harmony search
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Improving Text Classification Accuracy by Training Label Cleaning
ACM Transactions on Information Systems (TOIS)
Healthcare Data Mining: Predicting Hospital Length of Stay PHLOS
International Journal of Knowledge Discovery in Bioinformatics
Software effort estimation as a multiobjective learning problem
ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Extending extreme learning machine with combination layer
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
An ensemble of computational intelligence models for software maintenance effort prediction
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Information estimators for weighted observations
Neural Networks
Computer-aided diagnosis system: A Bayesian hybrid classification method
Computer Methods and Programs in Biomedicine
Pose invariant face recognition using biological inspired features based on ensemble of classifiers
Journal of Visual Communication and Image Representation
Classification and outlier detection based on topic based pattern synthesis
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air
International Journal of Knowledge Discovery in Bioinformatics
Healthcare Data Mining: Predicting Hospital Length of Stay PHLOS
International Journal of Knowledge Discovery in Bioinformatics
Hierarchical multi-label classification using local neural networks
Journal of Computer and System Sciences
Editorial: Modifications of the construction and voting mechanisms of the Random Forests Algorithm
Data & Knowledge Engineering
Computer Speech and Language
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining
INFORMS Journal on Computing
Combining classifiers using nearest decision prototypes
Applied Soft Computing
Fourier-assisted machine learning of hard disk drive access time models
PDSW '13 Proceedings of the 8th Parallel Data Storage Workshop
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Classification in P2P networks with cascade support vector machines
ACM Transactions on Knowledge Discovery from Data (TKDD)
Proceedings of Workshop on Machine Learning for Sensory Data Analysis
An investigation into the application of ensemble learning for entailment classification
Information Processing and Management: an International Journal
A survey of multiple classifier systems as hybrid systems
Information Fusion
A MapReduce-based distributed SVM ensemble for scalable image classification and annotation
Computers & Mathematics with Applications
Improving the efficiency of multi-site web search engines
Proceedings of the 7th ACM international conference on Web search and data mining
Pairwise meta-rules for better meta-learning-based algorithm ranking
Machine Learning
A new variable importance measure for random forests with missing data
Statistics and Computing
Training and assessing classification rules with imbalanced data
Data Mining and Knowledge Discovery
Ensemble methods for advanced skier days prediction
Expert Systems with Applications: An International Journal
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles
Machine Vision and Applications
GA-Ensemble: a genetic algorithm for robust ensembles
Computational Statistics
Journal of Systems Architecture: the EUROMICRO Journal
Social network analysis for customer churn prediction
Applied Soft Computing
Learning ensemble classifiers via restricted Boltzmann machines
Pattern Recognition Letters
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
Feature engineering for semantic place prediction
Pervasive and Mobile Computing
Information Sciences: an International Journal
Computer Speech and Language
An improved boosting based on feature selection for corporate bankruptcy prediction
Expert Systems with Applications: An International Journal
Future Generation Computer Systems
Applying Ant Colony Optimization to configuring stacking ensembles for data mining
Expert Systems with Applications: An International Journal
Forecasting conditional climate-change using a hybrid approach
Environmental Modelling & Software
A bagging SVM to learn from positive and unlabeled examples
Pattern Recognition Letters
Pattern Recognition Letters
Topic segmentation and labeling in asynchronous conversations
Journal of Artificial Intelligence Research
Sentiment classification: The contribution of ensemble learning
Decision Support Systems
A statistical view of clustering performance through the theory of U-processes
Journal of Multivariate Analysis
Multivariate convex regression with adaptive partitioning
The Journal of Machine Learning Research
An effective ensemble pruning algorithm based on frequent patterns
Knowledge-Based Systems
Machine learning-based classifiers ensemble for credit risk assessment
International Journal of Electronic Finance
Long-term time series prediction using OP-ELM
Neural Networks
A boosted SVM based ensemble classifier for sentiment analysis of online reviews
ACM SIGAPP Applied Computing Review
Meta-ELM: ELM with ELM hidden nodes
Neurocomputing
A framework for selection and fusion of pattern classifiers in multimedia recognition
Pattern Recognition Letters
Computers in Biology and Medicine
Expert Systems with Applications: An International Journal
Automated trading with performance weighted random forests and seasonality
Expert Systems with Applications: An International Journal
Neural network modeling of vector multivariable functions in ill-posed approximation problems
Journal of Computer and Systems Sciences International
Genetic ensemble of extreme learning machine
Neurocomputing
Advanced Engineering Informatics
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
Effects of resampling method and adaptation on clustering ensemble efficacy
Artificial Intelligence Review
Artificial Intelligence Review
Machine Vision and Applications
Improving ranking performance with cost-sensitive ordinal classification via regression
Information Retrieval
Ensemble canonical correlation analysis
Applied Intelligence
Red tides prediction system using fuzzy reasoning and the ensemble method
Applied Intelligence
On a method for constructing ensembles of regression models
Automation and Remote Control
Neural network ensemble operators for time series forecasting
Expert Systems with Applications: An International Journal
Fast decorrelated neural network ensembles with random weights
Information Sciences: an International Journal
Iterative bias reduction: a comparative study
Statistics and Computing
Boosting-SVM: effective learning with reduced data dimension
Applied Intelligence
Prediction of faults-slip-through in large software projects: an empirical evaluation
Software Quality Control
Personalized behavior pattern recognition and unusual event detection for mobile users
Mobile Information Systems
Random subspace support vector machine ensemble for reliable face recognition
International Journal of Biometrics
Hybrid extreme rotation forest
Neural Networks
An automatic method for construction of ensembles to time series prediction
International Journal of Hybrid Intelligent Systems
Applications of Hybrid Extreme Rotation Forests for image segmentation
International Journal of Hybrid Intelligent Systems
Combining multiple predictive models using genetic algorithms
Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data
Sharpened graph ensemble for semi-supervised learning
Intelligent Data Analysis
Automatic selection of classification learning algorithms for data mining practitioners
Intelligent Data Analysis
Diverse accurate feature selection for microarray cancer diagnosis
Intelligent Data Analysis
International Journal of Knowledge-based and Intelligent Engineering Systems
Learning to filter spam emails: An ensemble learning approach
International Journal of Hybrid Intelligent Systems
Boosted Pre-loaded Mixture of Experts for low-resolution face recognition
International Journal of Hybrid Intelligent Systems
An entropy-based approach to enhancing Random Forests
Intelligent Decision Technologies
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A hybrid decision tree classifier
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Integrating global and local application of random subspace ensemble
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Feature selection for k-means clustering stability: theoretical analysis and an algorithm
Data Mining and Knowledge Discovery
Automated detection of exudates and macula for grading of diabetic macular edema
Computer Methods and Programs in Biomedicine
The dropout learning algorithm
Artificial Intelligence
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