2 papers
cs.CY2026
Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
Krishna Padmanabhan, Minxin Lu, Dai Feng +4
We present a structured review of commonly used Explainable machine learning (XML) methodologies, including global and local interpretability tools such as SHapley Additive exPlana…
stat.ML2025
General OOD Detection via Model-aware and Subspace-aware Variable Priority
Min Lu, Hemant Ishwaran
Out-of-distribution (OOD) detection is essential for determining when a supervised model encounters inputs that differ meaningfully from its training distribution. While widely stu…