Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Machine Learning
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining and Knowledge Discovery
Neural Network Classification and Prior Class Probabilities
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
A novelty detection approach to classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Editorial: special issue on learning from imbalanced data sets
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Mining with rarity: a unifying framework
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
A study of the behavior of several methods for balancing machine learning training data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Class imbalances versus small disjuncts
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Minority report in fraud detection: classification of skewed data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Extreme re-balancing for SVMs: a case study
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Feature selection for text categorization on imbalanced data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Classification and knowledge discovery in protein databases
Journal of Biomedical Informatics - Special issue: Biomedical machine learning
Wrapper-based computation and evaluation of sampling methods for imbalanced datasets
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Does cost-sensitive learning beat sampling for classifying rare classes?
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
The class imbalance problem in learning classifier systems: a preliminary study
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
Classification Models for Historical Manuscript Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Bounding XCS's parameters for unbalanced datasets
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The discovery of association rules from tabular databases comprising nominal and ordinal attributes
Intelligent Data Analysis
Learning rules with negation for text categorization
Proceedings of the 2007 ACM symposium on Applied computing
Expert Systems with Applications: An International Journal
Minimax Regret Classifier for Imprecise Class Distributions
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)
Discriminative learning for differing training and test distributions
Proceedings of the 24th international conference on Machine learning
Mining breast cancer data with XCS
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition
An Evaluation of the Robustness of MTS for Imbalanced Data
IEEE Transactions on Knowledge and Data Engineering
Learning on the border: active learning in imbalanced data classification
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Journal of Biomedical Informatics
A weighted rough set based method developed for class imbalance learning
Information Sciences: an International Journal
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
An approach to mining the multi-relational imbalanced database
Expert Systems with Applications: An International Journal
Author identification: Using text sampling to handle the class imbalance problem
Information Processing and Management: an International Journal
Journal of Artificial Evolution and Applications - Regular issue
Selective costing voting for bankruptcy prediction
International Journal of Knowledge-based and Intelligent Engineering Systems
A metadata generation system for scanned scientific volumes
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Classification of weld flaws with imbalanced class data
Expert Systems with Applications: An International Journal
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
An information granulation based data mining approach for classifying imbalanced data
Information Sciences: an International Journal
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Instance weighting versus threshold adjusting for cost-sensitive classification
Knowledge and Information Systems
Learning classifier system ensemble and compact rule set
Connection Science - Evolutionary Learning and Optimisation
An efficient kernel matrix evaluation measure
Pattern Recognition
Accurate activity recognition in a home setting
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
ECML '07 Proceedings of the 18th European conference on Machine Learning
Helping Teachers Handle the Flood of Data in Online Student Discussions
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Selective Pre-processing of Imbalanced Data for Improving Classification Performance
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
An Empirical Study for the Multi-class Imbalance Problem with Neural Networks
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Using granular computing model to induce scheduling knowledge in dynamic manufacturing environments
International Journal of Computer Integrated Manufacturing
A comparative study on rough set based class imbalance learning
Knowledge-Based Systems
Local reweight wrapper for the problem of imbalance
International Journal of Artificial Intelligence and Soft Computing
Integrating in-process software defect prediction with association mining to discover defect pattern
Information and Software Technology
Handling imbalanced data sets with a modification of Decorate algorithm
International Journal of Computer Applications in Technology
Discovering genres of online discussion threads via text mining
Computers & Education
Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
Learning Classifier Systems
A New Performance Evaluation Method for Two-Class Imbalanced Problems
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Educational data mining: a case study for predicting dropout-prone students
International Journal of Knowledge Engineering and Soft Data Paradigms
On the use of surrounding neighbors for synthetic over-sampling of the minority class
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Error analysis in artificial neural networks: the imbalanced distribution case
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
International Journal of Approximate Reasoning
Large scale multi-label classification via metalabeler
Proceedings of the 18th international conference on World wide web
Expert Systems with Applications: An International Journal
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Information Security Tech. Report
Intelligent file scoring system for malware detection from the gray list
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
A Method to Classify Data by Fuzzy Rule Extraction from Imbalanced Datasets
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Text Sampling and Re-sampling for Imbalanced Authorship Identification Cases
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A Wrapper Method for Feature Selection in Multiple Classes Datasets
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Hybrid sampling for imbalanced data
Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
Reducing class imbalance during active learning for named entity annotation
Proceedings of the fifth international conference on Knowledge capture
Handling Class Imbalance Problems via Weighted BP Algorithm
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Learning when training data are costly: the effect of class distribution on tree induction
Journal of Artificial Intelligence Research
Learning from imbalanced data in surveillance of nosocomial infection
Artificial Intelligence in Medicine
Knowledge discovery from imbalanced and noisy data
Data & Knowledge Engineering
A risk minimization framework for domain adaptation
Proceedings of the 18th ACM conference on Information and knowledge management
On strategies for imbalanced text classification using SVM: A comparative study
Decision Support Systems
SVMs modeling for highly imbalanced classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
An empirical comparison of repetitive undersampling techniques
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Classifying Multiple Imbalanced Attributes in Relational Data
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Classifier combination for contextual idiom detection without labelled data
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Diversity exploration and negative correlation learning on imbalanced data sets
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
SERA: selectively recursive approach towards nonstationary imbalanced stream data mining
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Performance evaluation of classification methods in cultural modeling
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Information Sciences: an International Journal
Facetwise analysis of XCS for problems with class imbalances
IEEE Transactions on Evolutionary Computation
Improving software-quality predictions with data sampling and boosting
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Selective costing ensemble for handling imbalanced data sets
International Journal of Hybrid Intelligent Systems
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
On the discovery of subsumption relations for the alignment of ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Discriminative Learning Under Covariate Shift
The Journal of Machine Learning Research
The class imbalance problem in UCS classifier system: a preliminary study
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Using XCS to describe continuous-valued problem spaces
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Evaluating query-independent object features for relevancy prediction
ECIR'07 Proceedings of the 29th European conference on IR research
Weighted rough set learning: towards a subjective approach
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Improving the performance of the RBF neural networks trained with imbalanced samples
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Classification of functional voice disorders based on phonovibrograms
Artificial Intelligence in Medicine
Rectangular basis functions applied to imbalanced datasets
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Fitness functions in genetic programming for classification with unbalanced data
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Taking class importance into account
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
An empirical study of the behavior of classifiers on imbalanced and overlapped data sets
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Smoothing LDA model for text categorization
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Boosting support vector machines for imbalanced data sets
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
A comparison of different off-centered entropies to deal with class imbalance for decision trees
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A SOM and GP tool for reducing the dimensionality of a financial distress prediction problem
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Automatic vandalism detection in Wikipedia
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Transfer estimation of evolving class priors in data stream classification
Pattern Recognition
IEEE Transactions on Neural Networks
Journal of Intelligent Information Systems
Computer Methods and Programs in Biomedicine
Combined rough set theory and flow network graph to predict customer churn in credit card accounts
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Using evolutionary multiobjective techniques for imbalanced classification data
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Customer churn prediction --a case study in retail banking
Proceedings of the 2010 conference on Data Mining for Business Applications
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
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
International Journal of Artificial Intelligence in Education
Expert Systems with Applications: An International Journal
Conceptual-driven classification for coding advise in health insurance reimbursement
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Learning without default: a study of one-class classification and the low-default portfolio problem
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Study of context influence on classifiers trained under different video-document representations
Information Processing and Management: an International Journal
Exploiting probabilistic topic models to improve text categorization under class imbalance
Information Processing and Management: an International Journal
Exploring the performance of resampling strategies for the class imbalance problem
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
General framework for class-specific feature selection
Expert Systems with Applications: An International Journal
Learning to rank for why-question answering
Information Retrieval
Borderline over-sampling for imbalanced data classification
International Journal of Knowledge Engineering and Soft Data Paradigms
A hierarchical shrinking decision tree for imbalanced datasets
DNCOCO'06 Proceedings of the 5th WSEAS international conference on Data networks, communications and computers
Fuzzy rule extraction using recombined RecBF for very-imbalanced datasets
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
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
Cost-sensitive neural networks and editing techniques for imbalance problems
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets
Information Processing and Management: an International Journal
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Resampling methods versus cost functions for training an MLP in the class imbalance context
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Journal of Biomedical Informatics
Automatically building training examples for entity extraction
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Classification of high dimensional and imbalanced hyperspectral imagery data
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Sample subset optimization for classifying imbalanced biological data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Multi-agent based classification using argumentation from experience
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Multi-task clustering via domain adaptation
Pattern Recognition
Smoothing multinomial naïve bayes in the presence of imbalance
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Comparing alternative classifiers for database marketing: The case of imbalanced datasets
Expert Systems with Applications: An International Journal
Compact ensemble trees for imbalanced data
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Metric anomaly detection via asymmetric risk minimization
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Expert Systems with Applications: An International Journal
Novelty detection for the inspection of light-emitting diodes
Expert Systems with Applications: An International Journal
A genetic algorithm-based rule extraction system
Applied Soft Computing
The effect of class imbalance, complexity, size, and learning distribution on classifier performance
International Journal of Advanced Intelligence Paradigms
Pattern Recognition Letters
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Bilingual co-training for sentiment classification of chinese product reviews
Computational Linguistics
Predictive model for protein function using modular neural approach
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Automatic annotation of protein functional class from sparse and imbalanced data sets
VDMB'06 Proceedings of the First international conference on Data Mining and Bioinformatics
The novelty detection approach for different degrees of class imbalance
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Improving SVM training by means of NTIL when the data sets are imbalanced
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Boosting prediction accuracy on imbalanced datasets with SVM ensembles
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Many are better than one: improving probabilistic estimates from decision trees
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
"I loan because...": understanding motivations for pro-social lending
Proceedings of the fifth ACM international conference on Web search and data mining
Multiple-stream language models for statistical machine translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Machine learning techniques and mammographic risk assessment
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
A novel synthetic minority oversampling technique for imbalanced data set learning
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
A minority class feature selection method
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Preprocessing unbalanced data using support vector machine
Decision Support Systems
Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Semi-supervised learning for imbalanced sentiment classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
A new search engine integrating hierarchical browsing and keyword search
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Save the best for last? The treatment of dominant predictors in financial forecasting
Expert Systems with Applications: An International Journal
The nonverbal structure of patient case discussions in multidisciplinary medical team meetings
ACM Transactions on Information Systems (TOIS)
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
A simulation framework for scheduling performance evaluation on CPU-GPU heterogeneous system
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Mining the hidden structure of inductive learning data sets
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
BRACID: a comprehensive approach to learning rules from imbalanced data
Journal of Intelligent Information Systems
UTD-SpRL: a joint approach to spatial role labeling
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Online activity recognition using evolving classifiers
Expert Systems with Applications: An International Journal
Sample cutting method for imbalanced text sentiment classification based on BRC
Knowledge-Based Systems
Computers and Electrical Engineering
RFM analysis for detecting future core technology
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Dual support vector domain description for imbalanced classification
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Improving risk predictions by preprocessing imbalanced credit data
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Pattern Recognition Letters
The decomposed k-nearest neighbor algorithm for imbalanced text classification
FGIT'12 Proceedings of the 4th international conference on Future Generation Information Technology
A hybrid HMM/ANN model for activity recognition in the home using binary sensors
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An empirical study of learning from imbalanced data
ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115
SVM-based feature selection to optimize sensitivity-specificity balance applied to weaning
Computers in Biology and Medicine
A new probabilistic active sample selection algorithm for class imbalance problem
International Journal of Knowledge Engineering and Soft Data Paradigms
MoodScope: building a mood sensor from smartphone usage patterns
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
A cost-sensitive decision tree approach for fraud detection
Expert Systems with Applications: An International Journal
Bayesian mixed-effects inference on classification performance in hierarchical data sets
The Journal of Machine Learning Research
International Journal of Multimedia Data Engineering & Management
Proceedings of the 15th ACM on International conference on multimodal interaction
Training and assessing classification rules with imbalanced data
Data Mining and Knowledge Discovery
Information Sciences: an International Journal
Information Sciences: an International Journal
Machine Vision and Applications
Multimedia Tools and Applications
GSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems
Applied Soft Computing
Improving predictive models of glaucoma severity by incorporating quality indicators
Artificial Intelligence in Medicine
Computer Methods and Programs in Biomedicine
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains
Intelligent Data Analysis
A combined approach to tackle imbalanced data sets
International Journal of Hybrid Intelligent Systems
Hi-index | 0.03 |
In machine learning problems, differences in prior class probabilities -- or class imbalances -- have been reported to hinder the performance of some standard classifiers, such as decision trees. This paper presents a systematic study aimed at answering three different questions. First, we attempt to understand the nature of the class imbalance problem by establishing a relationship between concept complexity, size of the training set and class imbalance level. Second, we discuss several basic re-sampling or cost-modifying methods previously proposed to deal with the class imbalance problem and compare their effectiveness. The results obtained by such methods on artificial domains are linked to results in real-world domains. Finally, we investigate the assumption that the class imbalance problem does not only affect decision tree systems but also affects other classification systems such as Neural Networks and Support Vector Machines.