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cs.LG2026
A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
Jiandong Chen, Lingjie Su, Le Peng +3
Objective: The primary goal of this study was to systematically examine the impact of commonly used imbalance handling methods (IHMs) on predictive performance in biomedical binary…
cs.LG2025
Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification
Le Peng, Yash Travadi, Chuan He +2
For classification with imbalanced class frequencies, i.e., imbalanced classification (IC), standard accuracy is known to be misleading as a performance measure. While most existin…
cs.LG2023★ 2 cited
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Yash Travadi, Le Peng, Xuan Bi +2
Federated learning (FL) is a privacy-preserving learning technique that enables distributed computing devices to train shared learning models across data silos collaboratively. Exi…