Efficient co-regularised least squares regression
ICML '06 Proceedings of the 23rd international conference on Machine learning
A Comparison of Decision Tree Ensemble Creation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Immune network based ensembles
Neurocomputing
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters
The Journal of Machine Learning Research
Anytime Learning of Decision Trees
The Journal of Machine Learning Research
Classifier Ensembles with a Random Linear Oracle
IEEE Transactions on Knowledge and Data Engineering
ACOhg: dealing with huge graphs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Optimal antenna placement using a new multi-objective chc algorithm
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Distributed classification in peer-to-peer networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A lot of randomness is hiding in accuracy
Engineering Applications of Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering
A discretization algorithm based on Class-Attribute Contingency Coefficient
Information Sciences: an International Journal
Information Sciences: an International Journal
An experimental evaluation of simplicity in rule learning
Artificial Intelligence
Nighthawk: a two-level genetic-random unit test data generator
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Designing of classifiers based on immune principles and fuzzy rules
Information Sciences: an International Journal
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Maximizing the area under the ROC curve by pairwise feature combination
Pattern Recognition
Mining software repositories for comprehensible software fault prediction models
Journal of Systems and Software
Boosting recombined weak classifiers
Pattern Recognition Letters
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
Wrapper discretization by means of estimation of distribution algorithms
Intelligent Data Analysis
Comparing design and code metrics for software quality prediction
Proceedings of the 4th international workshop on Predictor models in software engineering
On reoptimizing multi-class classifiers
Machine Learning
Repairing self-confident active-transductive learners using systematic exploration
Pattern Recognition Letters
A reliable method for cell phenotype image classification
Artificial Intelligence in Medicine
A lazy bagging approach to classification
Pattern Recognition
About the relationship between ROC curves and Cohen's kappa
Engineering Applications of Artificial Intelligence
Classifying carpets based on laser scanner data
Engineering Applications of Artificial Intelligence
Hierarchical evolution of linear regressors
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Metaheuristics for solving a real-world frequency assignment problem in GSM networks
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Maximum likelihood rule ensembles
Proceedings of the 25th international conference on Machine learning
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
The Journal of Machine Learning Research
Hit Miss Networks with Applications to Instance Selection
The Journal of Machine Learning Research
Can data transformation help in the detection of fault-prone modules?
DEFECTS '08 Proceedings of the 2008 workshop on Defects in large software systems
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection
Expert Systems with Applications: An International Journal
Greedy regression ensemble selection: Theory and an application to water quality prediction
Information Sciences: an International Journal
Negation recognition in medical narrative reports
Information Retrieval
Data Mining and Knowledge Discovery
Better multiclass classification via a margin-optimized single binary problem
Pattern Recognition Letters
Techniques for evaluating fault prediction models
Empirical Software Engineering
Boosted Bayesian network classifiers
Machine Learning
Multilabel classification via calibrated label ranking
Machine Learning
Iteratively Reweighted Fitting for Reduced Multivariate Polynomial Model
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Performance Measures in Classification of Human Communications
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
When Similar Problems Don't Have Similar Solutions
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Methodology for Analyzing Case Retrieval from a Clustered Case Memory
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Decision Tree Instability and Active Learning
ECML '07 Proceedings of the 18th European conference on Machine Learning
A Simple Lexicographic Ranker and Probability Estimator
ECML '07 Proceedings of the 18th European conference on Machine Learning
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems
Current Topics in Artificial Intelligence
CTC: An Alternative to Extract Explanation from Bagging
Current Topics in Artificial Intelligence
Potential Distribution Modelling Using Machine Learning
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Comparing Non-parametric Ensemble Methods for Document Clustering
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Solving Regression by Learning an Ensemble of Decision Rules
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Sparse Bayes Machines for Binary Classification
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Alpha-Beta Weightless Neural Networks
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Analyzing Classifier Hierarchy Multiclassifier Learning
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Solving Three-Objective Optimization Problems Using a New Hybrid Cellular Genetic Algorithm
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Learning Decision Trees for Unbalanced Data
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Approximate Versus Linguistic Representation in Fuzzy-UCS
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
A Multi-measure Nearest Neighbor Algorithm for Time Series Classification
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Expert Systems with Applications: An International Journal
Boosting random subspace method
Neural Networks
DS '08 Proceedings of the 11th International Conference on Discovery Science
Evolving Fuzzy Rules with UCS: Preliminary Results
Learning Classifier Systems
Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
Learning Classifier Systems
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Semi-supervised Learning with Ensemble Learning and Graph Sharpening
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Combining Online Classification Approaches for Changing Environments
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Empirical Software Engineering
Particle swarm optimization for prototype reduction
Neurocomputing
Improving malware detection by applying multi-inducer ensemble
Computational Statistics & Data Analysis
Collective-agreement-based pruning of ensembles
Computational Statistics & Data Analysis
Supervised classification using probabilistic decision graphs
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Adding monotonicity to learning algorithms may impair their accuracy
Expert Systems with Applications: An International Journal
Breast mass classification based on cytological patterns using RBFNN and SVM
Expert Systems with Applications: An International Journal
Bayesian classifiers based on kernel density estimation: Flexible classifiers
International Journal of Approximate Reasoning
Classification models for the prediction of clinicians' information needs
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
A genetic encoding approach for learning methods for combining classifiers
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Computer Speech and Language
Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery
Journal of Biomedical Informatics
Intravascular Ultrasound Tissue Characterization with Sub-class Error-Correcting Output Codes
Journal of Signal Processing Systems
Expert Systems with Applications: An International Journal
Evaluating algorithms that learn from data streams
Proceedings of the 2009 ACM symposium on Applied Computing
A divide-and-conquer recursive approach for scaling up instance selection algorithms
Data Mining and Knowledge Discovery
A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Cluster-based nearest-neighbour classifier and its application on the lightning classification
Journal of Computer Science and Technology
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
Misclassification cost-sensitive fault prediction models
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Construct support vector machine ensemble to detect traffic incident
Expert Systems with Applications: An International Journal
A systematic analysis of performance measures for classification tasks
Information Processing and Management: an International Journal
Supervised projection approach for boosting classifiers
Pattern Recognition
Analysis and improvement of the genetic discovery component of XCS
International Journal of Hybrid Intelligent Systems - Data Mining and Hybrid Intelligent Systems
Data Mining and Knowledge Discovery
Decision tree and instance-based learning for label ranking
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A model-free ensemble method for class prediction with application to biomedical decision making
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Multi-instance genetic programming for web index recommendation
Expert Systems with Applications: An International Journal
Issues in evaluation of stream learning algorithms
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Weighted Dissociated Dipoles for Evolutive Learning
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
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
A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A mixed discrete-continuous attribute list representation for large scale classification domains
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problem
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
EMO shines a light on the holes of complexity space
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Structure identification of Bayesian classifiers based on GMDH
Knowledge-Based Systems
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
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
Hyperheuristics for a Dynamic-Mapped Multi-Objective Island-Based Model
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction
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
Random Ordinality Ensembles$\colon$ A Novel Ensemble Method for Multi-valued Categorical Data
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Use of Classification Algorithms in Noise Detection and Elimination
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Combining Multiple Classifiers with Dynamic Weighted Voting
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
A New Classifier Design with Fuzzy Functions
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Out-of-bag estimation of the optimal sample size in bagging
Pattern Recognition
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Scalable Noise Reduction Technique for Large Case-Based Systems
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Integration of a Methodology for Cluster-Based Retrieval in jColibri
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
On Quality of Different Annotation Sources for Gene Expression Analysis
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
A fast ensemble pruning algorithm based on pattern mining process
Data Mining and Knowledge Discovery
Anytime classification for a pool of instances
Machine Learning
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques
BSB '09 Proceedings of the 4th Brazilian Symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
Evaluation Measures for Multi-class Subgroup Discovery
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Binary Decomposition Methods for Multipartite Ranking
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
A new multiobjective simulated annealing based clustering technique using symmetry
Pattern Recognition Letters
Blurred Shape Model for binary and grey-level symbol recognition
Pattern Recognition Letters
Evaluation of a hierarchical reinforcement learning spoken dialogue system
Computer Speech and Language
Spectrum of variable-random trees
Journal of Artificial Intelligence Research
Anytime induction of low-cost, low-error classifiers: a sampling-based approach
Journal of Artificial Intelligence Research
Wikipedia-based semantic interpretation for natural language processing
Journal of Artificial Intelligence Research
Troika - An improved stacking schema for classification tasks
Information Sciences: an International Journal
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy
Evolutionary Computation
Comparison of similarity models for the relation discovery task
LD '06 Proceedings of the Workshop on Linguistic Distances
Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning
IEEE Transactions on Evolutionary Computation
Dimensionality reduction aids term co-occurrence based multi-document summarization
SumQA '06 Proceedings of the Workshop on Task-Focused Summarization and Question Answering
Variable neighbourhood decomposition search for 0-1 mixed integer programs
Computers and Operations Research
FR3: a fuzzy rule learner for inducing reliable classifiers
IEEE Transactions on Fuzzy Systems
Constructing ensembles of classifiers by means of weighted instance selection
IEEE Transactions on Neural Networks
Kernel-matching pursuits with arbitrary loss functions
IEEE Transactions on Neural Networks
Probabilistic classification vector machines
IEEE Transactions on Neural Networks
Measuring Interest of Human Dyadic Interactions
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Pattern Recognition Letters
InstanceRank: Bringing order to datasets
Pattern Recognition Letters
Measuring Interest of Human Dyadic Interactions
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
DS '09 Proceedings of the 12th International Conference on Discovery Science
Player Modeling for Intelligent Difficulty Adjustment
DS '09 Proceedings of the 12th International Conference on Discovery Science
An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules
DS '09 Proceedings of the 12th International Conference on Discovery Science
Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Kernel Difference-Weighted k-Nearest Neighbors Classification
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Clustering of symbolic data using the assignment-prototype algorithm
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Feature selection in heterogeneous structure of ensembles: a genetic algorithm approach
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On-line independent support vector machines
Pattern Recognition
Information Sciences: an International Journal
Information Sciences: an International Journal
Learning similarity metrics for event identification in social media
Proceedings of the third ACM international conference on Web search and data mining
IEEE Transactions on Fuzzy Systems
Why fuzzy decision trees are good rankers
IEEE Transactions on Fuzzy Systems
Neural network architecture selection: can function complexity help?
Neural Processing Letters
Multi-modal Semantic Place Classification
International Journal of Robotics Research
A goal-related distance function on fuzzy partitions and its use in nearest neighbour classification
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem
Natural Computing: an international journal
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
Ensemble classification based on generalized additive models
Computational Statistics & Data Analysis
A symbolic fault-prediction model based on multiobjective particle swarm optimization
Journal of Systems and Software
Information Sciences: an International Journal
Re-coding ECOCs without re-training
Pattern Recognition Letters
Regularized margin-based conditional log-likelihood loss for prototype learning
Pattern Recognition
Expert Systems with Applications: An International Journal
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models
The Journal of Machine Learning Research
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
Learning Nondeterministic Classifiers
The Journal of Machine Learning Research
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
The Journal of Machine Learning Research
A Streaming Parallel Decision Tree Algorithm
The Journal of Machine Learning Research
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Naïve Bayes ensembles with a random oracle
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
Design issues in a multiobjective cellular genetic algorithm
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
A study on the use of statistical tests for experimentation with neural networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
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
Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization
IEEE Transactions on Fuzzy Systems
Nested support vector machines
IEEE Transactions on Signal Processing
Design-level metrics estimation based on code metrics
Proceedings of the 2010 ACM Symposium on Applied Computing
Multi-objective clustering ensemble with prior knowledge
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
Joint cutoff probabilistic estimation using simulation: a mailing campaign application
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Capturing heuristics and intelligent methods for improving micro-array data classification
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Robust text classification using a hysteresis-driven extended SRN
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Class-oriented reduction of decision tree complexity
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Learning classification rules for multiple target attributes
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A new node splitting measure for decision tree construction
Pattern Recognition
Weighted dissociated dipoles: an extended visual feature set
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Study on customer churn prediction methods based on multiple classifiers combination
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Privacy-preserving data mining: A feature set partitioning approach
Information Sciences: an International Journal
Variance analysis in software fault prediction models
ISSRE'09 Proceedings of the 20th IEEE international conference on software reliability engineering
Differential Evolution for learning the classification method PROAFTN
Knowledge-Based Systems
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database
ACM SIGKDD Explorations Newsletter
Ensembles of pre-processing techniques for noise detection in gene expression data
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Crisp classifiers vs. fuzzy classifiers: a statistical study
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Boosting through optimization of margin distributions
IEEE Transactions on Neural Networks
An evolutionary approach to the multidepot capacitated arc routing problem
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Fuzzy Systems - Special section on computing with words
FSVM-CIL: fuzzy support vector machines for class imbalance learning
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Improved step size adaptation for the MO-CMA-ES
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Grammar guided genetic programming for multiple instance learning: an experimental study
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Genetic rule extraction optimizing brier score
Proceedings of the 12th annual conference on Genetic and evolutionary computation
ENDER: a statistical framework for boosting decision rules
Data Mining and Knowledge Discovery
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Learning Bayesian networks from survival data using weighting censored instances
Journal of Biomedical Informatics
A dynamic classifier ensemble selection approach for noise data
Information Sciences: an International Journal
Multilabel classification with meta-level features
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A semi-dependent decomposition approach to learn hierarchical classifiers
Pattern Recognition
Information Sciences: an International Journal
Empirical evaluation of feature selection methods in classification
Intelligent Data Analysis
An unsupervised self-organizing learning with support vector ranking for imbalanced datasets
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Noise reduction for instance-based learning with a local maximal margin approach
Journal of Intelligent Information Systems
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
Applied Soft Computing
Efficient Distributed Genetic Algorithm for Rule extraction
Applied Soft Computing
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
TrustRank: inducing trust in automatic translations via ranking
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
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
The Journal of Machine Learning Research
Expert Systems with Applications: An International Journal
The Advantages of Seed Examples in First-Order Multi-class Subgroup Discovery
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
G3P-MI: A genetic programming algorithm for multiple instance learning
Information Sciences: an International Journal
Artificial Intelligence in Medicine
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Comparing classification methods for longitudinal fmri studies
Neural Computation
A robust semi-supervised classification method for transfer learning
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
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
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Probabilistic rough set approaches to ordinal classification with monotonicity constraints
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Expert Systems with Applications: An International Journal
Reduced Reward-punishment editing for building ensembles of classifiers
Expert Systems with Applications: An International Journal
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Adaptive methods for classification in arbitrarily imbalanced and drifting data streams
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
A randomized sphere cover classifier
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
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
A novel smart multi-objective particle swarm optimisation using decomposition
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
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
Expectation propagation for Bayesian multi-task feature selection
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Information Sciences: an International Journal
Adapting decision DAGs for multipartite ranking
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
RAMOBoost: ranked minority oversampling in boosting
IEEE Transactions on Neural Networks
IEEE Transactions on Fuzzy Systems
Obtaining optimal class distribution for decision trees: comparative analysis of CTC and C4.5
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Selecting few genes for microarray gene expression classification
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
A study of the parallelization of the multi-objective metaheuristic MOEA/D
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Semi-supervised approach for finding cancer sub-classes on gene expression data
BSB'10 Proceedings of the Advances in bioinformatics and computational biology, and 5th Brazilian conference on Bioinformatics
Nonparametric statistical analysis of machine learning algorithms for regression problems
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: 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
The Knowledge Engineering Review
Sequential covering rule induction algorithm for variable consistency rough set approaches
Information Sciences: an International Journal
IEEE Transactions on Evolutionary Computation
Online error correcting output codes
Pattern Recognition Letters
Adaptive case-based reasoning using retention and forgetting strategies
Knowledge-Based Systems
Journal of Intelligent Information Systems
New hybrid matheuristics for solving the multidimensional knapsack problem
HM'10 Proceedings of the 7th international conference on Hybrid metaheuristics
A simple approach to incorporate label dependency in multi-label classification
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Sparse episode identification in environmental datasets: The case of air quality assessment
Expert Systems with Applications: An International Journal
Comparing machine learning classifiers in potential distribution modelling
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Detecting and ordering salient regions
Data Mining and Knowledge Discovery
Computer Science - Research and Development
Class information adapted kernel for support vector machine
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
First-Order Multi-class Subgroup Discovery
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Pattern Recognition Letters
A comparison of Asian e-government websites quality: using a non-parametric test
International Journal of Business Information Systems
A novel Artificial Immune System for fault behavior detection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Study of context influence on classifiers trained under different video-document representations
Information Processing and Management: an International Journal
Evolutionary selection of hyperrectangles in nested generalized exemplar learning
Applied Soft Computing
Using remote data mining on LIDAR and imagery fusion data to develop land cover maps
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Analyzing the impact of the discretization method when comparing Bayesian classifiers
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Improving incremental wrapper-based feature subset selection by using re-ranking
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
A preliminary study on the selection of generalized instances for imbalanced classification
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
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
Surrounding influenced K-nearest neighbors: a new distance based classifier
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Incremental learning by heterogeneous bagging ensemble
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Inference on the prediction of ensembles of infinite size
Pattern Recognition
Semiparametric bivariate Archimedean copulas
Computational Statistics & Data Analysis
Improved differential evolution algorithm with decentralisation of population
International Journal of Bio-Inspired Computation
Semi-Supervised Novelty Detection
The Journal of Machine Learning Research
Expert Systems with Applications: An International Journal
Learning in the feed-forward random neural network: A critical review
Performance Evaluation
Active rule learning using decision tree for resource management in Grid computing
Future Generation Computer Systems
Texture descriptors for generic pattern classification problems
Expert Systems with Applications: An International Journal
An energy-based model for region-labeling
Computer Vision and Image Understanding
International Journal of Approximate Reasoning
Collaborative error-reflected models for cold-start recommender systems
Decision Support Systems
Artificial Intelligence in Medicine
A new feature selection algorithm based on binomial hypothesis testing for spam filtering
Knowledge-Based Systems
Predicting MHC-II Binding Affinity Using Multiple Instance Regression
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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
Random projections for linear SVM ensembles
Applied Intelligence
Multi-scale stacked sequential learning
Pattern Recognition
Partial AUC maximization in a linear combination of dichotomizers
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
Parallel island-based multiobjectivised memetic algorithms for a 2D packing problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Ensembles of ARTMAP-based neural networks: an experimental study
Applied Intelligence
Comparative evaluation of set-level techniques in microarray classification
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Information Sciences: an International Journal
Enhancing particle swarm optimization using generalized opposition-based learning
Information Sciences: an International Journal
Analysis of vulnerability assessment results based on CAOS
Applied Soft Computing
A learning method for developing PROAFTN classifiers and a comparative study with decision trees
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Direct local pattern sampling by efficient two-step random procedures
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Automatic branching detection in IVUS sequences
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A parallel genetic programming algorithm for classification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Learning multi-class theories in ILP
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Class confidence weighted kNN algorithms for imbalanced data sets
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Evolutionary-based selection of generalized instances for imbalanced classification
Knowledge-Based Systems
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
Knowledge-Based Systems
Possibilistic classifiers for uncertain numerical data
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Hierarchical multilabel protein function prediction using local neural networks
BSB'11 Proceedings of the 6th Brazilian conference on Advances in bioinformatics and computational biology
Methods in case-based classification in bioinformatics: lessons learned
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
Aggregating independent and dependent models to learn multi-label classifiers
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
On the stratification of multi-label data
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Learning from label proportions by optimizing cluster model selection
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Comparing predictive power in climate data: clustering matters
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Investigation of evolving fuzzy systems methods FLEXFIS and eTS on predicting residential prices
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Ensemble pruning via base-classifier replacement
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
Neural Processing Letters
Operators for transforming kernels into quasi-local kernels that improve SVM accuracy
Journal of Intelligent Information Systems
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks
Pattern Recognition Letters
A dynamic logistic multiple classifier system for online classification
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
Introducing the separability matrix for error correcting output codes coding
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
C3E: a framework for combining ensembles of classifiers and clusterers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Ranking and 1-dimensional projection of cell development transcription profiles
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
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
Random feature weights for decision tree ensemble construction
Information Fusion
A multilevel information fusion approach for visual quality inspection
Information Fusion
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Incorporating label dependency into the binary relevance framework for multi-label classification
Expert Systems with Applications: An International Journal
An effective discretization based on Class-Attribute Coherence Maximization
Pattern Recognition Letters
Monotone instance ranking with MIRA
DS'11 Proceedings of the 14th international conference on Discovery science
Predicting structured outputs k-nearest neighbours method
DS'11 Proceedings of the 14th international conference on Discovery science
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
Controlled permutations for testing adaptive classifiers
DS'11 Proceedings of the 14th international conference on Discovery science
A knowledge-based semantic Kernel for text classification
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Two stage architecture for multi-label learning
Pattern Recognition
Automated feature generation from structured knowledge
Proceedings of the 20th ACM international conference on Information and knowledge management
Image processing and machine learning for fully automated probabilistic evaluation of medical images
Computer Methods and Programs in Biomedicine
A GRASP method for building classification trees
Expert Systems with Applications: An International Journal
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
Expert Systems with Applications: An International Journal
Marketing Optimization in Retail Banking
Interfaces
Global feature subset selection on high-dimensional datasets using re-ranking-based EDAs
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for 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
Instance selection for class imbalanced problems by means of selecting instances more than once
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Efficient and Effective Visual Codebook Generation Using Additive Kernels
The Journal of Machine Learning Research
Decision forests with oblique decision trees
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Rule-Based prediction of rare extreme values
DS'06 Proceedings of the 9th international conference on Discovery Science
Transductive gaussian process regression with automatic model selection
ECML'06 Proceedings of the 17th European conference on Machine Learning
Graph based semi-supervised learning with sharper edges
ECML'06 Proceedings of the 17th European conference on Machine Learning
Robust probabilistic calibration
ECML'06 Proceedings of the 17th European conference on Machine Learning
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Learning Bayesian network classifiers by risk minimization
International Journal of Approximate Reasoning
Inductive discovery of laws using monotonic rules
Engineering Applications of Artificial Intelligence
Multi-objective hybrid evolutionary algorithms for radial basis function neural network design
Knowledge-Based Systems
Strengthening learning algorithms by feature discovery
Information Sciences: an International Journal
Computer Methods and Programs in Biomedicine
Mixed decision trees: an evolutionary approach
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Learning opponent's preferences for effective negotiation: an approach based on concept learning
Autonomous Agents and Multi-Agent Systems
Hellinger distance decision trees are robust and skew-insensitive
Data Mining and Knowledge Discovery
Estimating the risk of fire outbreaks in the natural environment
Data Mining and Knowledge Discovery
Empirical Software Engineering
Variable consistency bagging ensembles
Transactions on Rough Sets XI
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
Positional and confidence voting-based consensus functions for fuzzy cluster ensembles
Fuzzy Sets and Systems
An online AUC formulation for binary classification
Pattern Recognition
Expert Systems with Applications: An International Journal
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Automatic parameter settings for the PROAFTN classifier using hybrid particle swarm optimization
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
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Cluster ensembles in collaborative filtering recommendation
Applied Soft Computing
Evolving neural networks with maximum AUC for imbalanced data classification
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
SIFT-SS: an advanced steady-state multi-objective genetic fuzzy system
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Reducing dimensionality in multiple instance learning with a filter method
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Minimal design of error-correcting output codes
Pattern Recognition Letters
Pattern Recognition Letters
Uncensoring censored data for machine learning: A likelihood-based approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Bagging schemes on the presence of class noise in classification
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Supervised subspace projections for constructing ensembles of classifiers
Information Sciences: an International Journal
Learning data structure from classes: A case study applied to population genetics
Information Sciences: an International Journal
The differential ant-stigmergy algorithm
Information Sciences: an International Journal
Oracle coached decision trees and lists
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Evaluation methods and strategies for the interactive use of classifiers
International Journal of Human-Computer Studies
A classifier ensemble approach for the missing feature problem
Artificial Intelligence in Medicine
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Beyond accuracy, f-score and ROC: a family of discriminant measures for performance evaluation
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
An experimental study on ensembles of functional trees
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
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Using imaginary ensembles to select GP classifiers
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Incorporating knowledge in evolutionary prototype selection
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A proposal of evolutionary prototype selection for class imbalance problems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Multivariate statistical tests for comparing classification algorithms
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Distribution of computational effort in parallel MOEA/D
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
New results on minimum error entropy decision trees
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
A weighted profile intersection measure for profile-based authorship attribution
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Exploring the behaviour of base classifiers in credit scoring ensembles
Expert Systems with Applications: An International Journal
DCPE co-training for classification
Neurocomputing
An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification
Journal of Systems and Software
Comparison of reuse strategies for case-based classification in bioinformatics
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Multi-Test decision trees for gene expression data analysis
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
The Journal of Machine Learning Research
Automatically measuring the quality of user generated content in forums
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
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Profiling instances in noise reduction
Knowledge-Based Systems
Editorial: Large scale instance selection by means of federal instance selection
Data & Knowledge Engineering
Classification based on specific rules and inexact coverage
Expert Systems with Applications: An International Journal
Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals
Expert Systems with Applications: An International Journal
Two-level classifier ensembles for credit risk assessment
Expert Systems with Applications: An International Journal
Information Processing and Management: an International Journal
A semi-supervised feature ranking method with ensemble learning
Pattern Recognition Letters
Data with shifting concept classification using simulated recurrence
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Integrating spatial relations into case-based reasoning to solve geographic problems
Knowledge-Based Systems
Biological invasion-inspired migration in distributed evolutionary algorithms
Information Sciences: an International Journal
An unsupervised approach to feature discretization and selection
Pattern Recognition
An extensive experimental comparison of methods for multi-label learning
Pattern Recognition
A first study on decomposition strategies with data with class noise using decision trees
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Non-Disjoint discretization for aggregating one-dependence estimator classifiers
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Multi-Objective ant programming for mining classification rules
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
The AUK: A simple alternative to the AUC
Engineering Applications of Artificial Intelligence
Heuristic rule-based regression via dynamic reduction to classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
LIFT: multi-label learning with label-specific features
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Information Sciences: an International Journal
Multiple instance learning for classifying students in learning management systems
Expert Systems with Applications: An International Journal
Journal of Data and Information Quality (JDIQ)
Design of reject rules for ECOC classification systems
Pattern Recognition
Multilabel classifiers with a probabilistic thresholding strategy
Pattern Recognition
On employing fuzzy modeling algorithms for the valuation of residential premises
Information Sciences: an International Journal
K Nearest Neighbor Equality: Giving equal chance to all existing classes
Information Sciences: an International Journal
Model selection in omnivariate decision trees using Structural Risk Minimization
Information Sciences: an International Journal
Evaluating defect prediction approaches: a benchmark and an extensive comparison
Empirical Software Engineering
A reduct derived from feature selection
Pattern Recognition Letters
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A study of different quality evaluation functions in the cAnt-Miner(PB) classification algorithm
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Exploring boundaries: optimising individual class boundaries for binary classification problem
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Post-processing operators for decision lists
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Acute leukemia classification by ensemble particle swarm model selection
Artificial Intelligence in Medicine
Screening nonrandomized studies for medical systematic reviews: A comparative study of classifiers
Artificial Intelligence in Medicine
Generating recommendations for consensus negotiation in group personalization services
Personal and Ubiquitous Computing
A shapelet transform for time series classification
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Bandwidth selection in kernel density estimators for multiple-resolution classification
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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
Nyström approximate model selection for LSSVM
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
An associative classifier for uncertain datasets
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Clustering and understanding documents via discrimination information maximization
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A novel efficient local illumination compensation method based on DCT in logarithm domain
Pattern Recognition Letters
Efficient feature selection filters for high-dimensional data
Pattern Recognition Letters
Financial time series forecasting with a bio-inspired fuzzy model
Expert Systems with Applications: An International Journal
A noise-detection based AdaBoost algorithm for mislabeled data
Pattern Recognition
On the use of data filtering techniques for credit risk prediction with instance-based models
Expert Systems with Applications: An International Journal
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Selecting classification algorithms with active testing
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
How many trees in a random forest?
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Generation of a probabilistic fuzzy rule base by learning from examples
Information Sciences: an International Journal
Dynamic fusion method using Localized Generalization Error Model
Information Sciences: an International Journal
Can cross-company data improve performance in software effort estimation?
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Wrapper feature selection for small sample size data driven by complete error estimates
Computer Methods and Programs in Biomedicine
Efficient pairwise classification using local cross off strategy
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Evaluation of normalization techniques in text classification for portuguese
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Alternative quality measures for time series shapelets
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
Inducing decision trees with an ant colony optimization algorithm
Applied Soft Computing
InstanceRank based on borders for instance selection
Pattern Recognition
An extensive comparative study of cluster validity indices
Pattern Recognition
Evaluating credal classifiers by utility-discounted predictive accuracy
International Journal of Approximate Reasoning
A Bayesian stochastic search method for discovering Markov boundaries
Knowledge-Based Systems
Empirical models based on features ranking techniques for corporate financial distress prediction
Computers & Mathematics with Applications
Class distribution estimation based on the Hellinger distance
Information Sciences: an International Journal
Robust Learning Algorithm Based on Iterative Least Median of Squares
Neural Processing Letters
BRACID: a comprehensive approach to learning rules from imbalanced data
Journal of Intelligent Information Systems
On the evolutionary optimization of k-NN by label-dependent feature weighting
Pattern Recognition Letters
Local phase quantization descriptor for improving shape retrieval/classification
Pattern Recognition Letters
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs
Proceedings of the 21st ACM international conference on Information and knowledge management
Constraint projections for semi-supervised affinity propagation
Knowledge-Based Systems
Information Sciences: an International Journal
Automated feature weighting in naive bayes for high-dimensional data classification
Proceedings of the 21st ACM international conference on Information and knowledge management
An efficient and simple under-sampling technique for imbalanced time series classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Synergistic effect of different levels of genomic data for cancer clinical outcome prediction
Journal of Biomedical Informatics
Continuous time Bayesian network classifiers
Journal of Biomedical Informatics
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
The CASH algorithm-cost-sensitive attribute selection using histograms
Information Sciences: an International Journal
An improved (µ+λ)-constrained differential evolution for constrained optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Tree ensembles for predicting structured outputs
Pattern Recognition
Fast multi-label core vector machine
Pattern Recognition
Enhancing directed binary trees for multi-class classification
Information Sciences: an International Journal
Diversity enhanced particle swarm optimization with neighborhood search
Information Sciences: an International Journal
An online learning network for biometric scores fusion
Neurocomputing
A generalized automatic clustering algorithm in a multiobjective framework
Applied Soft Computing
Improving the cAnt-MinerPB classification algorithm
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
A self-adaptive heterogeneous PSO inspired by ants
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
Loss-specific training of non-parametric image restoration models: a new state of the art
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
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
Relational differential prediction
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Handling time changing data with adaptive very fast decision rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
A bayesian approach for classification rule mining in quantitative databases
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Adaptive reservoir computing through evolution and learning
Neurocomputing
Multilayer perceptron for label ranking
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
One-Class classification through optimized feature boundaries detection and prototype reduction
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Bi-objective genetic algorithm for feature selection in ensemble systems
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
The Effect of Social and Physical Detachment on Information Need
ACM Transactions on Information Systems (TOIS)
Rule quality measure-based induction of unordered sets of regression rules
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Environmental Modelling & Software
Error-correcting output codes based ensemble feature extraction
Pattern Recognition
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems
Expert Systems with Applications: An International Journal
Linear classifier combination and selection using group sparse regularization and hinge loss
Pattern Recognition Letters
Differential Evolution for automatic rule extraction from medical databases
Applied Soft Computing
Link prediction in complex networks based on cluster information
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Multi-label lego -- enhancing multi-label classifiers with local patterns
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Batch-incremental versus instance-incremental learning in dynamic and evolving data
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
One-sided prototype selection on class imbalanced dissimilarity matrices
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
A genetic inspired optimization for ECOC
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Improving risk predictions by preprocessing imbalanced credit data
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Validation based sparse gaussian processes for ordinal regression
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
Using derivatives in time series classification
Data Mining and Knowledge Discovery
Parameter-less co-clustering for star-structured heterogeneous data
Data Mining and Knowledge Discovery
Investigating fusion approaches in multi-biometric cancellable recognition
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
How large should ensembles of classifiers be?
Pattern Recognition
Engineering Applications of Artificial Intelligence
The use of artificial-intelligence-based ensembles for intrusion detection: a review
Applied Computational Intelligence and Soft Computing
International Journal of Applied Metaheuristic Computing
A scalable approach to simultaneous evolutionary instance and feature selection
Information Sciences: an International Journal
Data & Knowledge Engineering
Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach
Data & Knowledge Engineering
Handwritten Data Clustering Using Agents Competition in Networks
Journal of Mathematical Imaging and Vision
A comparative study of sampling methods and algorithms for imbalanced time series classification
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
An efficient adversarial learning strategy for constructing robust classification boundaries
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
A probabilistic least squares approach to ordinal regression
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
On evaluating stream learning algorithms
Machine Learning
Ordinal and nominal classification of wind speed from synoptic pressurepatterns
Engineering Applications of Artificial Intelligence
Image thresholding based on semivariance
Pattern Recognition Letters
Automatic recognition of quarantine citrus diseases
Expert Systems with Applications: An International Journal
Analysis and design of rank-based classifiers
Expert Systems with Applications: An International Journal
Kernel Factory: An ensemble of kernel machines
Expert Systems with Applications: An International Journal
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
Knowledge-Based Systems
eXiT*CBR.v2: Distributed case-based reasoning tool for medical prognosis
Decision Support Systems
A hybrid algorithm for the manufacturing cell formation problem
Journal of Heuristics
Investigation of incremental support vector regression applied to real estate appraisal
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Investigation of mixture of experts applied to residential premises valuation
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Graph 3-coloring with a hybrid self-adaptive evolutionary algorithm
Computational Optimization and Applications
Multi-modal user identification and object recognition surveillance system
Pattern Recognition Letters
A grammar-guided genetic programming algorithm for multi-label classification
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
Adding chaos to differential evolution for range image registration
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Folksonomy link prediction based on a tripartite graph for tag recommendation
Journal of Intelligent Information Systems
Iterative classification for multiple target attributes
Journal of Intelligent Information Systems
UniDis: a universal discretization technique
Journal of Intelligent Information Systems
Exploiting label dependencies for improved sample complexity
Machine Learning
Differential evolution with local information for neuro-fuzzy systems optimisation
Knowledge-Based Systems
Selection of interdependent genes via dynamic relevance analysis for cancer diagnosis
Journal of Biomedical Informatics
Coarse-to-fine multiclass learning and classification for time-critical domains
Pattern Recognition Letters
A novel ant-based clustering algorithm using Renyi entropy
Applied Soft Computing
Expert Systems with Applications: An International Journal
Improving the interpretability of classification rules discovered by an ant colony algorithm
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Iterated multi-swarm: a multi-swarm algorithm based on archiving methods
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A grammatical evolution approach for software effort estimation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A new probabilistic active sample selection algorithm for class imbalance problem
International Journal of Knowledge Engineering and Soft Data Paradigms
Fast instance selection for speeding up support vector machines
Knowledge-Based Systems
Inter-training: Exploiting unlabeled data in multi-classifier systems
Knowledge-Based Systems
Numerical optimization by multi-gene genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
RCD: A recurring concept drift framework
Pattern Recognition Letters
Neurocomputing
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
Flexible job shop scheduling using hybrid differential evolution algorithms
Computers and Industrial Engineering
PSO with path relinking for resource allocation using simulation optimization
Computers and Industrial Engineering
Information Sciences: an International Journal
A time series forest for classification and feature extraction
Information Sciences: an International Journal
Efficient data stream classification via probabilistic adaptive windows
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Intelligent feature and instance selection to improve nearest neighbor classifiers
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Performance evaluation of ranking methods for relevant gene selection in cancer microarray datasets
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Empirical study of bagging predictors on medical data
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Software effort models should be assessed via leave-one-out validation
Journal of Systems and Software
A hybrid harmony search algorithm for the flexible job shop scheduling problem
Applied Soft Computing
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis
Proceedings of the 2013 International Conference on Software Engineering
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
FRPS: A Fuzzy Rough Prototype Selection method
Pattern Recognition
AIB2: an abstraction data reduction technique based on IB2
Proceedings of the 6th Balkan Conference in Informatics
Walk detection and step counting on unconstrained smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Instance Annotation for Multi-Instance Multi-Label Learning
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
Information Sciences: an International Journal
Dynamic texture segmentation based on deterministic partially self-avoiding walks
Computer Vision and Image Understanding
Multi-label classification based on analog reasoning
Expert Systems with Applications: An International Journal
Sparse activity and sparse connectivity in supervised learning
The Journal of Machine Learning Research
An introduction to artificial prediction markets for classification
The Journal of Machine Learning Research
Multi-target regression with rule ensembles
The Journal of Machine Learning Research
Classification approach based on non-negative least squares
Neurocomputing
Multiple instance classification: Review, taxonomy and comparative study
Artificial Intelligence
Combining one-class classifiers via meta learning
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
On the effect of calibration in classifier combination
Applied Intelligence
Online behavior change detection in computer games
Expert Systems with Applications: An International Journal
Cluster ensemble selection based on relative validity indexes
Data Mining and Knowledge Discovery
Beam search algorithms for multilabel learning
Machine Learning
Information and Software Technology
Information Sciences: an International Journal
Uncovering overlapping cluster structures via stochastic competitive learning
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
Exploitation of pairwise class distances for ordinal classification
Neural Computation
Learning Bayesian network classifiers from label proportions
Pattern Recognition
Pattern Recognition
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Robust Regulation Adaptation in Multi-Agent Systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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
A survey on concept drift adaptation
ACM Computing Surveys (CSUR)
Solving the unknown complexity formula problem with genetic programming
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Kernelizing the proportional odds model through the empirical kernel mapping
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Pacc - a discriminative and accuracy correlated measure for assessment of classification results
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
How to improve the statistical power of the 10-fold cross validation scheme in recommender systems
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation
Hierarchical multi-label classification using local neural networks
Journal of Computer and System Sciences
Journal of Computer and System Sciences
Editorial: Modifications of the construction and voting mechanisms of the Random Forests Algorithm
Data & Knowledge Engineering
Editorial: Parameter-free classification in multi-class imbalanced data sets
Data & Knowledge Engineering
International Journal of Data Mining and Bioinformatics
A novel belief rule base representation, generation and its inference methodology
Knowledge-Based Systems
A new measure for gene expression biclustering based on non-parametric correlation
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
Adaptive thresholding in structure learning of a Bayesian network
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Adaptive error-correcting output codes
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Computationally efficient link prediction in a variety of social networks
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Automatic design of decision-tree algorithms with evolutionary algorithms
Evolutionary Computation
Computers & Mathematics with Applications
A unified view of class-selection with probabilistic classifiers
Pattern Recognition
Approximate polytope ensemble for one-class classification
Pattern Recognition
On the design of an ECOC-Compliant Genetic Algorithm
Pattern Recognition
Improving accuracy of classification models induced from anonymized datasets
Information Sciences: an International Journal
MOGA-based fuzzy data mining with taxonomy
Knowledge-Based Systems
Semantic smoothing for text clustering
Knowledge-Based Systems
Gene expression data clustering using a multiobjective symmetry based clustering technique
Computers in Biology and Medicine
Training and assessing classification rules with imbalanced data
Data Mining and Knowledge Discovery
An organ allocation system for liver transplantation based on ordinal regression
Applied Soft Computing
Filter-based optimization techniques for selection of feature subsets in ensemble systems
Expert Systems with Applications: An International Journal
Aircraft taxi time prediction: Comparisons and insights
Applied Soft Computing
Information Sciences: an International Journal
Dependent binary relevance models for multi-label classification
Pattern Recognition
Unsupervised language model adaptation for handwritten Chinese text recognition
Pattern Recognition
Learning ensemble classifiers via restricted Boltzmann machines
Pattern Recognition Letters
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Transgenic: An evolutionary algorithm operator
Neurocomputing
Evolutionary k-means for distributed data sets
Neurocomputing
Classification with decision trees from a nonparametric predictive inference perspective
Computational Statistics & Data Analysis
Credal ensembles of classifiers
Computational Statistics & Data Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data
Expert Systems with Applications: An International Journal
Fully corrective boosting with arbitrary loss and regularization
Neural Networks
Applying Ant Colony Optimization to configuring stacking ensembles for data mining
Expert Systems with Applications: An International Journal
Efficient feature size reduction via predictive forward selection
Pattern Recognition
Towards UCI+: A mindful repository design
Information Sciences: an International Journal
A feature subset selection algorithm automatic recommendation method
Journal of Artificial Intelligence Research
Sentiment classification: The contribution of ensemble learning
Decision Support Systems
Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation
The Journal of Machine Learning Research
Alleviating naive Bayes attribute independence assumption by attribute weighting
The Journal of Machine Learning Research
Convex and scalable weakly labeled SVMs
The Journal of Machine Learning Research
Proceedings of the 23rd international conference on World wide web
On the feature extraction in discrete space
Pattern Recognition
Multi-class boosting with asymmetric binary weak-learners
Pattern Recognition
An improved firefly algorithm for solving dynamic multidimensional knapsack problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A supervised learning approach to the ensemble clustering of genes
International Journal of Data Mining and Bioinformatics
Different Aspects of Clustering The Self-Organizing Maps
Neural Processing Letters
Combining block-based and online methods in learning ensembles from concept drifting data streams
Information Sciences: an International Journal
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies
Artificial Intelligence Review
Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning
Neural Processing Letters
Object and Action Classification with Latent Window Parameters
International Journal of Computer Vision
CID: an efficient complexity-invariant distance for time series
Data Mining and Knowledge Discovery
GSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems
Applied Soft Computing
Naive possibilistic classifiers for imprecise or uncertain numerical data
Fuzzy Sets and Systems
Improving predictive models of glaucoma severity by incorporating quality indicators
Artificial Intelligence in Medicine
Information Sciences: an International Journal
On the use of meta-learning for instance selection: An architecture and an experimental study
Information Sciences: an International Journal
Aggregative quantification for regression
Data Mining and Knowledge Discovery
Imbalanced evolving self-organizing learning
Neurocomputing
Journal of Global Optimization
Approximated algorithms for the minimum dilation triangulation problem
Journal of Heuristics
Annals of Mathematics and Artificial Intelligence
Tutorial on application-oriented evaluation of recommendation systems
AI Communications
Human limb segmentation in depth maps based on spatio-temporal Graph-cuts optimization
Journal of Ambient Intelligence and Smart Environments
International Journal of Knowledge-based and Intelligent Engineering Systems
Smooth Newton method for implicit Lagrangian twin support vector regression
International Journal of Knowledge-based and Intelligent Engineering Systems
Mining association rules with single and multi-objective grammar guided ant programming
Integrated Computer-Aided Engineering
Intelligent Data Analysis
Sharpened graph ensemble for semi-supervised learning
Intelligent Data Analysis
A study of K-Means-based algorithms for constrained clustering
Intelligent Data Analysis
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Classification of time series by shapelet transformation
Data Mining and Knowledge Discovery
Hi-index | 0.09 |
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more algorithms on multiple data sets, which is even more essential to typical machine learning studies, has been all but ignored. This article reviews the current practice and then theoretically and empirically examines several suitable tests. Based on that, we recommend a set of simple, yet safe and robust non-parametric tests for statistical comparisons of classifiers: the Wilcoxon signed ranks test for comparison of two classifiers and the Friedman test with the corresponding post-hoc tests for comparison of more classifiers over multiple data sets. Results of the latter can also be neatly presented with the newly introduced CD (critical difference) diagrams.