Approximate statistical tests for comparing supervised classification learning algorithms

Robust classification systems for imprecise environments

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

Forgetting Exceptions is Harmful in Language Learning

Machine Learning - Special issue on natural language learning

A Winnow-Based Approach to Context-Sensitive Spelling Correction

Machine Learning - Special issue on natural language learning

Estimating generalization error using out-of-bag estimates

AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence

Detecting feature interactions from accuracies of random feature subsets

AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence

Structure learning in conditional probability models via an entropic prior and parameter extinction

Neural Computation

Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap

Neural Processing Letters

Text Classification from Labeled and Unlabeled Documents using EM

Machine Learning - Special issue on information retrieval

An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization

Machine Learning

MultiBoosting: A Technique for Combining Boosting and Wagging

Machine Learning

Scalability for clustering algorithms revisited

ACM SIGKDD Explorations Newsletter

Enlarging the Margins in Perceptron Decision Trees

Machine Learning

Robust Classification for Imprecise Environments

Machine Learning

The Effect of Instance-Space Partition on Significance

Machine Learning

Data mining with sparse grids using simplicial basis functions

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Magical thinking in data mining: lessons from CoIL challenge 2000

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Performance comparisons of neural networks and machine learning techniques: a critical assessment of the methodology

New learning paradigms in soft computing

Data mining with sparse grids

Computing

Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach

Applied Intelligence

User Modeling for Adaptive News Access

User Modeling and User-Adapted Interaction

An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Machine Learning

The use of bigrams to enhance text categorization

Information Processing and Management: an International Journal

Bayesian model assessment and comparison using cross-validation predictive densities

Neural Computation

A Comparison of Ranking Methods for Classification Algorithm Selection

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Using Subclasses to Improve Classification Learning

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Stacking with an Extended Set of Meta-level Attributes and MLR

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Multiclass Alternating Decision Trees

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Multiple Comparison Procedures for Determining the Optimal Complexity of a Model

Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition

Bayesian Information Reward

AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Simulations for Comparing Knowledge Acquisition and Machine Learning

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector Machines

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Heterogeneous Forests of Decision Trees

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms

MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence

Evolving Fuzzy Rule Based Classifiers with GA-P: A Grammatical Approach

Proceedings of the Second European Workshop on Genetic Programming

Word Sense vs. Word Domain Disambiguation: A Maximum Entropy Approach

TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue

Learning Regular Languages Using RFSA

ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory

Improved Dataset Characterisation for Meta-learning

DS '02 Proceedings of the 5th International Conference on Discovery Science

Limiting the Number of Trees in Random Forests

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS

AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine

An Empirical Comparison of Pruning Methods for Ensemble Classifiers

IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis

XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining

IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems

Inference for the Generalization Error

Machine Learning

RBF neural networks for classification using new Kernel functions

Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications

Belief revision via Lamarckian evolution

New Generation Computing

A complete fuzzy decision tree technique

Fuzzy Sets and Systems - Theme: Learning and modeling

Bayes point machines

The Journal of Machine Learning Research

Round robin classification

The Journal of Machine Learning Research

An introduction to variable and feature selection

The Journal of Machine Learning Research

On nearest-neighbor error-correcting output codes with application to all-pairs multiclass support vector machines

The Journal of Machine Learning Research

Relational learning as search in a critical region

The Journal of Machine Learning Research

Accuracy-based learning classifier systems: models, analysis and applications to classification tasks

Evolutionary Computation

Benchmarking Least Squares Support Vector Machine Classifiers

Machine Learning

Is Combining Classifiers with Stacking Better than Selecting the Best One?

Machine Learning

A machine learning approach to coreference resolution of noun phrases

Computational Linguistics - Special issue on computational anaphora resolution

Improving accuracy in word class tagging through the combination of machine learning systems

Computational Linguistics

Improvement of Boosting Algorithm by Modifying the Weighting Rule

Annals of Mathematics and Artificial Intelligence

Symbolization assisted SVM classifier for noisy data

Pattern Recognition Letters

Learning regular languages using RFSAs

Theoretical Computer Science - Special issue: Algorithmic learning theory

Bayesian networks in educational testing

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models

In Defense of One-Vs-All Classification

The Journal of Machine Learning Research

Sources of Success for Boosted Wrapper Induction

The Journal of Machine Learning Research

Estimating replicability of classifier learning experiments

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods

The Journal of Machine Learning Research

An evaluation of statistical spam filtering techniques

ACM Transactions on Asian Language Information Processing (TALIP)

No Unbiased Estimator of the Variance of K-Fold Cross-Validation

The Journal of Machine Learning Research

A comprehensive comparative study on term weighting schemes for text categorization with support vector machines

WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web

Parametric models of linguistic count data

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1

The order of prenominal adjectives in natural language generation

ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics

Interactive global illumination in dynamic participating media using selective photon tracing

Proceedings of the 21st spring conference on Computer graphics

Optimizing abstaining classifiers using ROC analysis

ICML '05 Proceedings of the 22nd international conference on Machine learning

An Assessment of Case-Based Reasoning for Spam Filtering

Artificial Intelligence Review

Ordering and Finding the Best of K2 Supervised Learning Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence

A comparison between supervised learning algorithms for word sense disambiguation

ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7

An empirical study of the domain dependence of supervised word sense disambiguation systems

EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13

Using the distribution of performance for studying statistical NLP systems and corpora

ELDS '01 Proceedings of the workshop on Evaluation for Language and Dialogue Systems - Volume 9

Boosting Neural Networks

Neural Computation

Combined 5 × 2 cv F Test for Comparing Supervised Classification Learning Algorithms

Neural Computation

Improving Multiclass Pattern Recognition by the Combination of Two Strategies

IEEE Transactions on Pattern Analysis and Machine Intelligence

Using Emerging Patterns to Construct Weighted Decision Trees

IEEE Transactions on Knowledge and Data Engineering

A methodology for comparing classifiers that allow the control of bias

Proceedings of the 2006 ACM symposium on Applied computing

Modified Segmental Histogram Equalization for robust speaker verification

Pattern Recognition Letters

Feature subset selection bias for classification learning

ICML '06 Proceedings of the 23rd international conference on Machine learning

Support vector machines for dyadic data

Neural Computation

A simple regression based heuristic for learning model trees

Intelligent Data Analysis

Extending the single words-based document model: a comparison of bigrams and 2-itemsets

Proceedings of the 2006 ACM symposium on Document engineering

The reusability of induced knowledge for the automatic semantic markup of taxonomic descriptions

Journal of the American Society for Information Science and Technology

A Comparison of Decision Tree Ensemble Creation Techniques

IEEE Transactions on Pattern Analysis and Machine Intelligence

Combining Information Extraction Systems Using Voting and Stacked Generalization

The Journal of Machine Learning Research

Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication

Pattern Recognition

A cooperative constructive method for neural networks for pattern recognition

Pattern Recognition

Assessing facial beauty through proportion analysis by image processing and supervised learning

International Journal of Human-Computer Studies

Word segmentation of handwritten text using supervised classification techniques

Applied Soft Computing

Combining multiple class distribution modified subsamples in a single tree

Pattern Recognition Letters

Pairwise classifier combination using belief functions

Pattern Recognition Letters

A robust multilingual portable phrase chunking system

Expert Systems with Applications: An International Journal

Immune network based ensembles

Neurocomputing

Fuzzy support vector machine for multi-class text categorization

Information Processing and Management: an International Journal

Spoken language classification using hybrid classifier combination

International Journal of Hybrid Intelligent Systems

Multi-Classifier Systems: Review and a roadmap for developers

International Journal of Hybrid Intelligent Systems

Combining data-driven systems for improving Named Entity Recognition

Data & Knowledge Engineering

Pruning extensions to stacking

Intelligent Data Analysis

Neighborhood Property--Based Pattern Selection for Support Vector Machines

Neural Computation

The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy

Artificial Intelligence in Medicine

Nonlinear Boosting Projections for Ensemble Construction

The Journal of Machine Learning Research

Consistent Feature Selection for Pattern Recognition in Polynomial Time

The Journal of Machine Learning Research

On the Classification of a Small Imbalanced Cytogenetic Image Database

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Decision-tree instance-space decomposition with grouped gain-ratio

Information Sciences: an International Journal

Information Discriminant Analysis: Feature Extraction with an Information-Theoretic Objective

IEEE Transactions on Pattern Analysis and Machine Intelligence

Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

On one method of non-diagonal regularization in sparse Bayesian learning

Proceedings of the 24th international conference on Machine learning

Accuracy estimation with clustered dataset

AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61

Fuzzy-UCS: preliminary results

Proceedings of the 9th annual conference companion on Genetic and evolutionary computation

Ensemble learning for free with evolutionary algorithms?

Proceedings of the 9th annual conference on Genetic and evolutionary computation

Improving text classification for oral history archives with temporal domain knowledge

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier

Computers in Biology and Medicine

On the use of ROC analysis for the optimization of abstaining classifiers

Machine Learning

Classification with sparse grids using simplicial basis functions

Intelligent Data Analysis

Boosting interval based literals

Intelligent Data Analysis

An application of machine learning and statistics to defect detection

Intelligent Data Analysis

Information-theoretic inference of large transcriptional regulatory networks

EURASIP Journal on Bioinformatics and Systems Biology

Comparison of classification accuracy using Cohen's Weighted Kappa

Expert Systems with Applications: An International Journal

Machine learning: a review of classification and combining techniques

Artificial Intelligence Review

The implicit function as squashing time model: a novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer's disease subjects with high degree of accuracy

Computational Intelligence and Neuroscience - EEG/MEG Signal Processing

Maximum patterns in datasets

Discrete Applied Mathematics

Automated classification of the behavior of rats in the forced swimming test with support vector machines

Neural Networks

Predicting defect-prone software modules using support vector machines

Journal of Systems and Software

Lung nodule detection in low-dose and thin-slice computed tomography

Computers in Biology and Medicine

Bayesian classification for the selection of in vitro human embryos using morphological and clinical data

Computer Methods and Programs in Biomedicine

Grasp recognition for uncalibrated data gloves: A machine learning approach

Presence: Teleoperators and Virtual Environments

Using genetic programming for artificial neural network development and simplification

CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics

Regularity selection for effective 3D object reconstruction from a single line drawing

Pattern Recognition Letters

Growing a multi-class classifier with a reject option

Pattern Recognition Letters

AdaBoost with SVM-based component classifiers

Engineering Applications of Artificial Intelligence

Robust and efficient multiclass SVM models for phrase pattern recognition

Pattern Recognition

Mindful: A framework for Meta-INDuctive neuro-FUzzy Learning

Information Sciences: an International Journal

Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners

The Journal of Machine Learning Research

Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers

The Journal of Machine Learning Research

Negation recognition in medical narrative reports

Information Retrieval

Partitioned logistic regression for spam filtering

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition

Signal Processing

Learning Bayesian Classifiers from Dependency Network Classifiers

ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I

Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion

IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I

Improved Algorithms for Univariate Discretization of Continuous Features

PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

Feature Ranking Ensembles for Facial Action Unit Classification

ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition

Local Modelling in Classification

ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

Using Genetic Algorithms for Parameter Optimization in Building Predictive Data Mining Models

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications

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

Forest-RK: A New Random Forest Induction Method

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence

Texture Classification in Lung CT Using Local Binary Patterns

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - 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

Artificial immune-based supervised classifier for land-cover classification

International Journal of Remote Sensing

Ensemble of support vector machines for land cover classification

International Journal of Remote Sensing

Boosting random subspace method

Neural Networks

A Comparison of three evolutionary strategies for multiobjective genetic programming

Artificial Intelligence Review

Protein functional class prediction with a combined graph

Expert Systems with Applications: An International Journal

Learning layered ranking functions with structured support vector machines

Neural Networks

Evolving Fuzzy Rules with UCS: Preliminary Results

Learning Classifier Systems

Substructural Surrogates for Learning Decomposable Classification Problems

Learning Classifier Systems

Handling class imbalance in customer churn prediction

Expert Systems with Applications: An International Journal

On the combination of locally optimal pairwise classifiers

Engineering Applications of Artificial Intelligence

Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps

Pattern Recognition

A generic multi-dimensional feature extraction method using multiobjective genetic programming

Evolutionary Computation

Incremental construction of classifier and discriminant ensembles

Information Sciences: an International Journal

Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes

International Journal of Data Mining and Bioinformatics

Example-based dialog modeling for practical multi-domain dialog system

Speech Communication

A divide-and-conquer recursive approach for scaling up instance selection algorithms

Data Mining and Knowledge Discovery

Boosting a fast neural network for supervised land cover classification

Computers & Geosciences

A Hierarchical n-Grams Extraction Approach for Classification Problem

Advanced Internet Based Systems and Applications

Boosting k-nearest neighbor classifier by means of input space projection

Expert Systems with Applications: An International Journal

Negative correlation in incremental learning

Natural Computing: 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

Artificial neural network reduction through oracle learning

Intelligent Data Analysis

Analysis and improvement of the genetic discovery component of XCS

International Journal of Hybrid Intelligent Systems - Data Mining and Hybrid Intelligent Systems

Supervised machine learning algorithms for protein structure classification

Computational Biology and Chemistry

Learning non-redundant codebooks for classifying complex objects

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

A novel method for constructing ensemble classifiers

Statistics and Computing

A new probabilistic fuzzy model: Fuzzification--Maximization (FM) approach

International Journal of Approximate Reasoning

Voltage Sag Source Location From Extracted Rules Using Subgroup Discovery

Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence

On the Dimensions of Data Complexity through Synthetic Data Sets

Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence

Partial Lanczos extreme learning machine for single-output regression problems

Neurocomputing

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

Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Multi-class Boosting with Class Hierarchies

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Ant Clustering Using Ensembles of Partitions

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes

Computers in Biology and Medicine

Proposing a new term weighting scheme for text categorization

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing

ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development

OcVFDT: one-class very fast decision tree for one-class classification of data streams

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data

ODDboost: Incorporating Posterior Estimates into AdaBoost

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

Bootstrapping named entity recognition with automatically generated gazetteer lists

EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop

Empirical evaluations of animacy annotation

EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics

Statistical ranking in tactical generation

EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

Feature-based segmentation of narrative documents

FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing

Learning from data with uncertain labels by boosting credal classifiers

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data

The impact of time on the accuracy of sentiment classifiers created from a web log corpus

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2

Combining knowledge- and corpus-based word-sense-disambiguation methods

Journal of Artificial Intelligence Research

Constructive induction: a version space-based approach

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2

Modeling wine preferences by data mining from physicochemical properties

Decision Support Systems

The value of parsing as feature generation for gene mention recognition

Journal of Biomedical Informatics

Feature generation and representations for protein-protein interaction classification

Journal of Biomedical Informatics

Evaluation of k-Nearest Neighbor classifier performance for direct marketing

Expert Systems with Applications: An International Journal

An optimized experimental protocol based on neuro-evolutionary algorithms

Artificial Intelligence in Medicine

Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning

IEEE Transactions on Evolutionary Computation

Combined word alignments

ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts

Fast support vector machines for continuous data

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics

Constructing ensembles of classifiers by means of weighted instance selection

IEEE Transactions on Neural Networks

A novel template reduction approach for the K-nearest neighbor method

IEEE Transactions on Neural Networks

Probabilistic classification vector machines

IEEE Transactions on Neural Networks

Fast k most similar neighbor classifier for mixed data (tree k-MSN)

Pattern Recognition

Forests of nested dichotomies

Pattern Recognition Letters

Weed detection in multi-spectral images of cotton fields

Computers and Electronics in Agriculture

Improving Pit---Pattern Classification of Endoscopy Images by a Combination of Experts

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I

Using Data Mining for Wine Quality Assessment

DS '09 Proceedings of the 12th International Conference on Discovery Science

Prediction of Sequential Values for Debt Recovery

CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs

CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers

CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Closing Curves with Riemannian Dilation: Application to Segmentation in Automated Cervical Cancer Screening

ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I

Subjectivity word sense disambiguation

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

The influence of mutation on population dynamics in multiobjective genetic programming

Genetic Programming and Evolvable Machines

Comparing two genetic overproduce-and-choose strategies for fuzzy rule-based multiclassification systems generated by bagging and mutual information-based feature selection

International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models

Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications

Computational Statistics & Data Analysis

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

Information Sciences: an International Journal

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models

Pattern Recognition

A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram

Computers in Biology and Medicine

Bayesian Network Structure Learning by Recursive Autonomy Identification

The Journal of Machine Learning Research

Evolutionary approach to overcome initialization parameters in classification problems

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1

Transformations of symbolic data for continuous data oriented models

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Online shape learning using binary search trees

Image and Vision Computing

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

MP-polynomial kernel for training support vector machines

CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications

Towards a better understanding of random forests through the study of strength and correlation

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications

A novel metric for redundant gene elimination based on discriminative contribution

ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications

Integrating categorical variables with multiobjective genetic programming for classifier construction

EuroGP'08 Proceedings of the 11th European conference on Genetic programming

LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification

Pattern Recognition

Evaluating learning algorithms and classifiers

International Journal of Intelligent Information and Database Systems

Crisp classifiers vs. fuzzy classifiers: a statistical study

ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms

Learning predictive models that use pattern discovery-A bootstrap evaluative approach applied in organ functioning sequences

Journal of Biomedical Informatics

Learning Bayesian networks from survival data using weighting censored instances

Journal of Biomedical Informatics

Feature selection with redundancy-constrained class separability

IEEE Transactions on Neural Networks

Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods

Computational Statistics & Data Analysis

Semi-supervised sequence classification using abstraction augmented Markov models

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology

Efficient Distributed Genetic Algorithm for Rule extraction

Applied Soft Computing

A generic optimising feature extraction method using multiobjective genetic programming

Applied Soft Computing

Fine-grained genre classification using structural learning algorithms

ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

Unsupervised Layer-Wise Model Selection in Deep Neural Networks

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence

Amazon Mechanical Turk for subjectivity word sense disambiguation

CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk

From linear to non-linear kernel based classifiers for bankruptcy prediction

Neurocomputing

Generation and simplification of Artificial Neural Networks by means of Genetic Programming

Neurocomputing

Robust Pose Recognition of the Obscured Human Body

International Journal of Computer Vision

RANSAC-based training data selection for emotion recognition from spontaneous speech

Proceedings of the 3rd international workshop on Affective interaction in natural environments

Building comprehensible customer churn prediction models with advanced rule induction techniques

Expert Systems with Applications: An International Journal

Associative classifier for uncertain data

WAIM'10 Proceedings of the 11th international conference on Web-age information management

A comparison of machine learning techniques for detection of drug target articles

Journal of Biomedical Informatics

Finding related sentence pairs in MEDLINE

Information Retrieval

Cause identification from aviation safety incident reports via weakly supervised semantic lexicon construction

Journal of Artificial Intelligence Research

Sketch-based interfaces: exploiting spatio-temporal context for automatic stroke grouping

SG'10 Proceedings of the 10th international conference on Smart graphics

Incremental prediction for sequential data

ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II

Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors Using a Small Molecular Data Set

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

An empirical study of binary classifier fusion methods for multiclass classification

Information Fusion

Original paper: Automatic grading of Bi-colored apples by multispectral machine vision

Computers and Electronics in Agriculture

A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers

Computers in Biology and Medicine

Mapping classifiers and datasets

Expert Systems with Applications: An International Journal

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

Computational Statistics & Data Analysis

Using web sources for improving video categorization

Journal of Intelligent Information Systems

Identifying financially successful start-up profiles with data mining

Expert Systems with Applications: An International Journal

An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements

Computer Science - Research and Development

The landscape contest at ICPR 2010

ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos

Classifier fusion in the Dempster--Shafer framework using optimized t-norm based combination rules

International Journal of Approximate Reasoning

Receptive field optimisation and supervision of a fuzzy spiking neural network

Neural Networks

Distributional memory: A general framework for corpus-based semantics

Computational Linguistics

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

Personalized mode transductive spanning SVM classification tree

Information Sciences: an International Journal

An empirical analysis of under-sampling techniques to balance a protein structural class dataset

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Cascading an emerging pattern based classifier

MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition

An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Expert Systems with Applications: An International Journal

Random projections for linear SVM ensembles

Applied Intelligence

Towards final rule set reduction in XCS: a fuzzy representation approach

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Content-based histopathology image retrieval using a kernel-based semantic annotation framework

Journal of Biomedical Informatics

Formant position based weighted spectral features for emotion recognition

Speech Communication

Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacks

Applied Soft Computing

Improving predictions using aggregate information

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Probabilistic approach to the dynamic ensemble selection using measures of competence and diversity of base classifiers

HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II

Robust fuzzy rough classifiers

Fuzzy Sets and Systems

Learning to select the correct answer in multi-stream question answering

Information Processing and Management: an International Journal

Correcting bias in statistical tests for network classifier evaluation

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III

Cross-Lingual Adaptation Using Structural Correspondence Learning

ACM Transactions on Intelligent Systems and Technology (TIST)

GRASP forest: a new ensemble method for trees

MCS'11 Proceedings of the 10th international conference on Multiple classifier systems

Random feature weights for decision tree ensemble construction

Information Fusion

Controlled permutations for testing adaptive classifiers

DS'11 Proceedings of the 14th international conference on Discovery science

Combining binary classifiers with imprecise probabilities

IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making

Classifier learning with supervised marginal likelihood

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Graphical feature selection for multilabel classification tasks

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

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

Exponentially weighted moving average charts for detecting concept drift

Pattern Recognition Letters

Predict on-shelf product availability in grocery retailing with classification methods

Expert Systems with Applications: An International Journal

Consolidated trees: classifiers with stable explanation. a model to achieve the desired stability in explanation

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I

Evaluating misclassifications in imbalanced data

ECML'06 Proceedings of the 17th European conference on Machine Learning

Cascade evaluation of clustering algorithms

ECML'06 Proceedings of the 17th European conference on Machine Learning

Evaluating feature selection for SVMs in high dimensions

ECML'06 Proceedings of the 17th European conference on Machine Learning

Automatic emotion classification for interpersonal communication

WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis

A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach

Computers and Operations Research

Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease

Computer Methods and Programs in Biomedicine

Consolidated trees: an analysis of structural convergence

Data Mining

Learning non-monotonic additive value functions for multicriteria decision making

OR Spectrum

Hellinger distance decision trees are robust and skew-insensitive

Data Mining and Knowledge Discovery

Model selection in omnivariate decision trees

ECML'05 Proceedings of the 16th European conference on Machine Learning

Efficient Mining of Gap-Constrained Subsequences and Its Various Applications

ACM Transactions on Knowledge Discovery from Data (TKDD)

Machine learning techniques for predicting bacillus subtilis promoters

BSB'05 Proceedings of the 2005 Brazilian conference on Advances in Bioinformatics and Computational Biology

Novel ensemble methods for regression via classification problems

Expert Systems with Applications: An International Journal

Comparing pitch spelling algorithms on a large corpus of tonal music

CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval

Methods for combining statistical models of music

CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval

A weakly-supervised approach to argumentative zoning of scientific documents

EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing

A bayesian metric for evaluating machine learning algorithms

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

Naive bayes classifiers that perform well with continuous variables

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

A study of the influence of pos tagging on WSD

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue

Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods

Expert Systems with Applications: An International Journal

A multi-agent system for web-based risk management in small and medium business

Expert Systems with Applications: An International Journal

Enhancing SNNB with local accuracy estimation and ensemble techniques

DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications

An optimization methodology for machine learning strategies and regression problems in ballistic impact scenarios

Applied Intelligence

Multi-class pattern classification using single, multi-dimensional feature-space feature extraction evolved by multi-objective genetic programming and its application to network intrusion detection

Genetic Programming and Evolvable Machines

Supervised subspace projections for constructing ensembles of classifiers

Information Sciences: an International Journal

The role and resolution of textual entailment in natural language processing applications

NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems

An experimental study on ensembles of functional trees

MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems

A distributional semantics approach to simultaneous recognition of multiple classes of named entities

CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing

A new emerging pattern mining algorithm and its application in supervised classification

PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I

Multivariate statistical tests for comparing classification algorithms

LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization

Evaluating the regularity of human behavior from mobile phone usage logs

PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining

RANSAC-based training data selection on spectral features for emotion recognition from spontaneous speech

COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment

Predicting the semantic orientation of terms in E-HowNet

ROCLING '11 Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing

Incorporation of radius-info can be simple with SimpleMKL

Neurocomputing

Classification based on specific rules and inexact coverage

Expert Systems with Applications: An International Journal

Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps

Neurocomputing

Filter versus wrapper gene selection approaches in DNA microarray domains

Artificial Intelligence in Medicine

Comprehensible evaluation of prognostic factors and prediction of wound healing

Artificial Intelligence in Medicine

Feature subset selection by genetic algorithms and estimation of distribution algorithms

Artificial Intelligence in Medicine

Uncertainty analysis for multi-state weighted behaviours of rural area with carbon dioxide emission estimation

Applied Soft Computing

Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams

Advances in Engineering Software

Integrating spatial relations into case-based reasoning to solve geographic problems

Knowledge-Based Systems

Multi-document summarization exploiting frequent itemsets

Proceedings of the 27th Annual ACM Symposium on Applied Computing

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

Resampling methods for meta-model validation with recommendations for evolutionary computation

Evolutionary Computation

Using a shallow linguistic kernel for drug-drug interaction extraction

Journal of Biomedical Informatics

Model selection in omnivariate decision trees using Structural Risk Minimization

Information Sciences: an International Journal

Evaluation of clustering algorithms for word sense disambiguation

International Journal of Data Analysis Techniques and Strategies

Data mining from multiple heterogeneous relational databases using decision tree classification

Pattern Recognition Letters

Sensitivity analysis with cross-validation for feature selection and manifold learning

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

Exploiting quadratic mutual information for discriminant analysis

SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications

Ensemble methods for prediction of parkinson disease

IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning

An extensive comparative study of cluster validity indices

Pattern Recognition

Identifying the semantic orientation of terms using S-HAL for sentiment analysis

Knowledge-Based Systems

Paralinguistics in speech and language-State-of-the-art and the challenge

Computer Speech and Language

Computational approaches to sentence completion

ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1

Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer

Applied Soft Computing

Towards enhancing centroid classifier for text classification-A border-instance approach

Neurocomputing

The CASH algorithm-cost-sensitive attribute selection using histograms

Information Sciences: an International Journal

Learner excellence biased by data set selection: A case for data characterisation and artificial data sets

Pattern Recognition

A hybrid intelligent system for 3D reconstruction from a single line drawing

International Journal of Computer Applications in Technology

Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Linear classifier combination and selection using group sparse regularization and hinge loss

Pattern Recognition Letters

The impact of conceptualization on text classification

WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering

Classification of three wine varieties based on ELM and PCA

IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering

Conceptualization Effects on MEDLINE Documents Classification Using Rocchio Method

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01

Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier

Proceedings of the 15th annual conference on Genetic and evolutionary computation

Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease

International Journal of Data Mining and Bioinformatics

Statistical shape model for manifold regularization: Gleason grading of prostate histology

Computer Vision and Image Understanding

Local and global scaling reduce hubs in space

The Journal of Machine Learning Research

Combining one-class classifiers via meta learning

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

Using coarse information for real valued prediction

Data Mining and Knowledge Discovery

Path length entropy analysis of diastolic heart sounds

Computers in Biology and Medicine

One class random forests

Pattern Recognition

Multi-document summarization based on the Yago ontology

Expert Systems with Applications: An International Journal

A novel framework to design fuzzy rule-based ensembles using diversity induction and evolutionary algorithms-based classifier selection and fusion

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I

Editorial: Modifications of the construction and voting mechanisms of the Random Forests Algorithm

Data & Knowledge Engineering

An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms

Computer Methods and Programs in Biomedicine

Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?

Knowledge-Based Systems

Parser evaluation using textual entailments

Language Resources and Evaluation

Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers

Neurocomputing

The cluster assessment of facial attractiveness using fuzzy neural network classifier based on 3D Moiré features

Pattern Recognition

Towards UCI+: A mindful repository design

Information Sciences: an International Journal

Domains of competence of the semi-naive Bayesian network classifiers

Information Sciences: an International Journal

Framing image description as a ranking task: data, models and evaluation metrics

Journal of Artificial Intelligence Research

A novel ant colony optimization based single path hierarchical classification algorithm for predicting gene ontology

Applied Soft Computing

A hybrid intelligent system for diagnosing microalbuminuria in type 2 diabetes patients without having to measure urinary albumin

Computers in Biology and Medicine

Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols

User Modeling and User-Adapted Interaction

The impact of multinationality on firm value: A comparative analysis of machine learning techniques

Decision Support Systems

A tour of machine learning: An AI perspective

AI Communications - ECAI 2012 Turing and Anniversary Track

Optimized code matrix generation for classification of multi-class pattern recognition problems using machine learning techniques

International Journal of Knowledge-based and Intelligent Engineering Systems

Pedestrian detection in far infrared images

Integrated Computer-Aided Engineering

Component-based decision trees for classification

Intelligent Data Analysis

A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser

Intelligent Data Analysis