Synthetic minority oversampling technique for multiclass imbalance problems

Author:

Zhu Tuanfei,Lin Yaping,Liu Yonghe

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Learning from imbalanced data;He;IEEE Trans. Knowl. Data Eng.,2009

2. Smote: synthetic minority over-sampling technique;Chawla;J. Mach. Learn. Res.,2002

3. To combat multi-class imbalanced problems by means of over-sampling techniques;Abdi;IEEE Trans. Knowl. Data Eng.,2016

4. Ramoboost: ranked minority oversampling in boosting;Chen;IEEE Trans. Neural Networks,2010

5. Evolutionary cluster-based synthetic oversampling ensemble (eco-ensemble) for imbalance learning;Lim;IEEE Trans. Cybern.,2016

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