J. Morris Chang

Synthetic Information Toward Maximum Posterior Ratio for Deep Learning on Imbalanced Data

2023 · IEEE Transactions on Artificial Intelligence

This work explores how class-imbalanced data affects deep learning and proposes a data balancing technique for mitigation by generating more synthetic data for the minority class. In contrast to random-based oversampling techniques, our approach prioritizes …