SafeVAE-GAN: A Novel Re-sampling Approach for Multi-Class Imbalanced Data
Multi-class imbalanced datasets are ubiquitous in domains like medical diagnostics, fraud detection, and learning performance classification, where minority classes are critical but underrepresented, and class overlap introduces noise and ambiguous boundaries. Prior research has explored oversampling and undersamplin...