1. R. Akbani, S. Kwek, N. Japkowicz, Applying support vector machines to imbalanced datasets, in: Proceedings of the 15th European Conference on Machine Learning, 2004, pp. 39–50.
2. Class imbalance learning methods for support vector machines;Haibo,2013
3. Adasyn: Adaptive synthetic sampling approach for imbalanced learning;Haibo;Adv. Knowl. Discov. Data Min.,2008
4. Learning from imbalanced data;Hiabo;IEEE Trans. Knowl. Data Eng.,2009
5. A review on ensembles for the class imbalance problem: Bagging, boosting, and hybrid-based approaches;Galar;IEEE Trans. Syst., Man, Cybern., Part C: Appl. Rev.,2012