2 citations · 4 across the 7 of their papers we have counts for
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cs.LG2022★ 1 cited
Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling
Fan Li, Bo Wang, Pin Wang +1
The challenge of imbalanced learning lies not only in class imbalance problem, but also in the class overlapping problem which is complex. However, most of the existing algorithms…
cs.LG2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Chuanyan Zhou, Jie Ma, Fan Li +3
Stack autoencoder (SAE), as a representative deep network, has unique and excellent performance in feature learning, and has received extensive attention from researchers. However,…
cs.LG2022★ 1 cited
Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency
Fan Li, Xiaoheng Zhang, Yongming Li +1
The class imbalance problem is important and challenging. Ensemble approaches are widely used to tackle this problem because of their effectiveness. However, existing ensemble meth…