A Survey of Predictive Modeling on Imbalanced Domains

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

(2015) Francisco Charte et al.   KNOWLEDGE-BASED SYSTEMS

Neighbourhood sampling in bagging for imbalanced data

(2015) Jerzy Błaszczyński et al.   NEUROCOMPUTING

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

(2015) Francisco Charte et al.   NEUROCOMPUTING

An evolutionary algorithm for the discovery of rare class association rules in learning management systems

(2014) J. M. Luna et al.   APPLIED INTELLIGENCE

RWO-Sampling: A random walk over-sampling approach to imbalanced data classification

(2014) Huaxiang Zhang et al.   Information Fusion

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems

(2014) Ming Gao et al.   NEUROCOMPUTING

Probabilistic Reframing for Cost-Sensitive Regression

(2014) José Hern´ndez-Orallo   ACM Transactions on Knowledge Discovery from Data

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed

(2013) Victoria López et al.   INFORMATION SCIENCES

Improving class probability estimates for imbalanced data

(2013) Byron C. Wallace et al.   KNOWLEDGE AND INFORMATION SYSTEMS

ROC curves for regression

(2013) José Hernández-Orallo   PATTERN RECOGNITION

Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

(2013) C. L. Castro et al.   IEEE Transactions on Neural Networks and Learning Systems

LVQ-SMOTE – Learning Vector Quantization based Synthetic Minority Over–sampling Technique for biomedical data

(2013) Munehiro Nakamura et al.   BioData Mining

Projection-Based Ensemble Learning for Ordinal Regression

(2013) Maria Perez-Ortiz et al.   IEEE Transactions on Cybernetics

Online neural network model for non-stationary and imbalanced data stream classification

(2013) Adel Ghazikhani et al.   International Journal of Machine Learning and Cybernetics

Inverse random under sampling for class imbalance problem and its application to multi-label classification

(2012) Muhammad Atif Tahir et al.   PATTERN RECOGNITION

A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios

(2012) R. Alejo et al.   PATTERN RECOGNITION LETTERS

ADJUSTED GEOMETRIC-MEAN: A NOVEL PERFORMANCE MEASURE FOR IMBALANCED BIOINFORMATICS DATASETS LEARNING

(2012) RUKSHAN BATUWITA et al.   Journal of Bioinformatics and Computational Biology

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

(2011) Chumphol Bunkhumpornpat et al.   APPLIED INTELLIGENCE

Hellinger distance decision trees are robust and skew-insensitive

(2011) David A. Cieslak et al.   DATA MINING AND KNOWLEDGE DISCOVERY

An extended tuning method for cost-sensitive regression and forecasting

(2011) Huimin Zhao et al.   DECISION SUPPORT SYSTEMS

A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function

(2011) Jae Pil Hwang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic classifier ensemble model for customer classification with imbalanced class distribution

(2011) Jin Xiao et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

(2011) Enislay Ramentol et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Evolutionary-based selection of generalized instances for imbalanced classification

(2011) Salvador Garcı´a et al.   KNOWLEDGE-BASED SYSTEMS

Error back-propagation algorithm for classification of imbalanced data

(2011) Sang-Hoon Oh   NEUROCOMPUTING

A unifying view on dataset shift in classification

(2011) Jose G. Moreno-Torres et al.   PATTERN RECOGNITION

FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

(2010) Rukshan Batuwita et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

RAMOBoost: Ranked Minority Oversampling in Boosting

(2010) Sheng Chen et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets

(2010) Alberto Fernández et al.   INFORMATION SCIENCES

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

(2009) Salvador García et al.   EVOLUTIONARY COMPUTATION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Combating the Small Sample Class Imbalance Problem Using Feature Selection

(2009) Mike Wasikowski et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems

(2009) D.J. Drown et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Tuning Data Mining Methods for Cost-Sensitive Regression: A Study in Loan Charge-Off Forecasting

(2009) Gaurav Bansal et al.   JOURNAL OF MANAGEMENT INFORMATION SYSTEMS

Boosting support vector machines for imbalanced data sets

(2009) Benjamin X. Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING

Automatically countering imbalance and its empirical relationship to cost

(2008) Nitesh V. Chawla et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

(2008) Alberto Fernández et al.   FUZZY SETS AND SYSTEMS

Exploratory Undersampling for Class-Imbalance Learning

(2008) Xu-Ying Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

SVMs Modeling for Highly Imbalanced Classification

(2008) Yuchun Tang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

An experimental comparison of performance measures for classification

(2008) C. Ferri et al.   PATTERN RECOGNITION LETTERS