Open access
Jul 2026
SafeVAE-GAN: A Novel Re-sampling Approach for Multi-Class Imbalanced Data
SafeVAE-GAN is proposed, a resampling framework that integrates a conditional β-Variational Autoencoder with Wasserstein GAN to generate high-quality minority samples and provides a robust and scalable solution for multi-class imbalanced learning across diverse domains.
Nhiem Ba Nguyen, Sinh Van Nguyen, B. Nguyễn
· Vietnam Journal of Computer... · 0 citations