AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data

SMOTE: Synthetic Minority Over-sampling Technique

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Proceedings of the 19th International Joint Conference on Artificial Intelligence

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A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard · ACM SIGKDD Explorations Newsletter · 2004 · 4.1K citations

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Cost-sensitive boosting for classification of imbalanced data

Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong et al. · Pattern Recognition · 2007 · 1.4K citations

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