2025
RAC-GAN: Iterative Dual-Objective Over and Under Sampling for Imbalanced Datasets
ICASSP 2025accepted
This paper introduces a novel framework named the Ranking Auxiliary Classifier Generative Adversarial Network (RAC-GAN), which leverages a dual strategy involving a Generative Adversarial Network (GAN)-based data generator for oversampling and a Reinforcement Learning (RL)-based ranker for undersamp…