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

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

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

(2009) Salvador García et al.   INFORMATION SCIENCES

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

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

Forecasting PGR of the financial industry using a rough sets classifier based on attribute-granularity

(2009) You-Shyang Chen et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Attribute reduction in ordered information systems based on evidence theory

(2009) Wei-hua Xu et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Boosting support vector machines for imbalanced data sets

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

Automatically countering imbalance and its empirical relationship to cost

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

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

Risk-sensitive loss functions for sparse multi-category classification problems

(2008) S. Suresh et al.   INFORMATION SCIENCES

KEEL: a software tool to assess evolutionary algorithms for data mining problems

(2008) J. Alcalá-Fdez et al.   SOFT COMPUTING

Evolutionary rule-based systems for imbalanced data sets

(2008) Albert Orriols-Puig et al.   SOFT COMPUTING

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

(2008) S. García et al.   SOFT COMPUTING

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

(2007) Maciej A. Mazurowski et al.   NEURAL NETWORKS