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…
astro-ph.CO2026
Curvature-Conditioned Measures for Cosmological Peak Statistics: A Transport-Geometric Framework
Tsutomu T. Takeuchi
We develop a transport-geometric theory of cosmological peak statistics based on optimal transport and entropy geometry. The density field is treated as a probability measure in Wa…