A Novel Algorithm for Imbalance Data Classification Based on Genetic Algorithm Improved SMOTE

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

A multi-objective optimisation approach for class imbalance learning

(2011) Paolo Soda   PATTERN RECOGNITION

An approach for classification of highly imbalanced data using weighting and undersampling

(2010) Ashish Anand et al.   AMINO ACIDS

RAMOBoost: Ranked Minority Oversampling in Boosting

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

Prediction of protein–protein interactions based on PseAA composition and hybrid feature selection

(2009) Liang Liu et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Learning from Imbalanced Data

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

Boosting support vector machines for imbalanced data sets

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

Exploratory Undersampling for Class-Imbalance Learning

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