2 papers
cs.LG2026
Concept Inconsistency in Dermoscopic Concept Bottleneck Models: A Rough-Set Analysis of the Derm7pt Dataset
Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
Concept Bottleneck Models (CBMs) route predictions exclusively through a clinically grounded concept layer, binding interpretability to concept-label consistency. When a dataset co…
physics.app-ph2026
Inversion of the impedance response towards physical parameter extraction using interpretable machine learning
Mahmoud Nabil, Isel Grau-GarcÃa, Ricardo Grau-Crespo +2
Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift-diffusion (DD) modelling…