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Author

Kaiwen Xue

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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. · 0 citations

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