Jul 2026
GAN-powered oversampling with strengthened sample distribution for class overlapping imbalanced data
This study introduces a novel approach, named SDCGAN, which oversamples with a Conditional Generative Adversarial Network (CGAN) where the generator is fed with strengthened distribution information extracted from a curated set of minority samples.
Yu-Lin Zhang, Xiao-Zhe Wang, Kai-Wen Xue et al.
· International Journal of Dat... · 0 citations