1. Research on imbalanced data classifification based on neural network adversarial and ensemble;zhou,2019
2. Controlling the sensitivity of support vector machines[C];veropoulos;Proceedings of the International Joint Conference on AI,1999
3. Exploratory undersampling for classimbalance learning[J];liu;IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics),2008
4. RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
5. Roughly balanced bagging for imbalanced data