LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 29.6K citations · Full text

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 · 4K citations

Artificial Intelligence, Engineering, Machine Learning +19

The class imbalance problem: A systematic study1

Nathalie Japkowicz, Shaju Stephen · Intelligent Data Analysis · 2002 · 3.2K citations

Prior Class Probabilities, Engineering, Machine Learning +22

Exploratory Undersampling for Class-Imbalance Learning

Xuying Liu, Jianxin Wu, Zhihua Zhou · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2008 · 2.4K citations

Engineering, Machine Learning, Roc Curve +16

Learning from imbalanced data: open challenges and future directions

Bartosz Krawczyk · Progress in Artificial Intelligence · 2016 · 2.3K citations · Full text

Engineering, Machine Learning, Big Data Analytics +16