4 papers · 1 filter
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…
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…
Selective Classification Under Distribution Shifts
Hengyue Liang, Le Peng, Ju Sun
In selective classification (SC), a classifier abstains from making predictions that are likely to be wrong to avoid excessive errors. To deploy imperfect classifiers -- either due…
Federated Learning with Convex Global and Local Constraints
Chuan He, Le Peng, Ju Sun
In practice, many machine learning (ML) problems come with constraints, and their applied domains involve distributed sensitive data that cannot be shared with others, e.g., in hea…