2 papers
cs.LG2026
SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
Mingxing Zhang, Nicola Rossberg, Simone Innocente +5
In recent years, machine learning models have been increasingly applied to spectroscopic datasets for chemical and biomedical analysis. For their successful adoption, particularly…
physics.optics2026
Optical Self-Trapping and Nonlinear Light-Matter Interactions in Biological Soft Matter
Lu Tian, Xianyang Liang, Liqin Tang +5
Low-scattering, deep-penetration light transport in biological media remains a pivotal challenge for biophotonic technologies, including biomedical imaging, optical diagnostics, an…