Arikatla Jaya Lakshmi

SMOG: an adaptive hybrid oversampling framework using SMOTE and conditional GAN for difficulty-aware learning on imbalanced data

SMOG, an adaptive hybrid oversampling framework that integrates the Synthetic Minority Over-sampling Technique with a Conditional Generative Adversarial Network (GAN)-based difficulty-aware learning strategy, highlights the effectiveness of adaptive hybrid generative strategies for intelligent learning on imbalanced da...