Hong Qi

DuNet: A Robust End-to-End Deep Neural Network Framework for Imbalanced Classification

Imbalanced classification is a prevalent task in machine learning, characterized by unequal sample distribution among classes. The majority of classifiers aim to optimize prediction performance across all samples, leading to a bias toward the majority class. In this paper, we propose an end-to-end d…