1. Imbalanced Learning
2. Addressing the curse of imbalanced training sets: One-sided selection;kubát;ICML,1997
3. Visualizing data using t-sne;van der maaten;Journal of Machine Learning Research,2008
4. Adasyn: Adaptive synthetic sampling approach for imbalanced learning;he;2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence),2008
5. SMOTE: Synthetic Minority Over-sampling Technique