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Sinh Van Nguyen

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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 · 0 citations

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