3 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…
stat.AP2021
Measuring Wind Turbine Health Using Drifting Concepts
Agnieszka Jastrzebska, Alejandro Morales-Hernández, Gonzalo Nápoles +2
Time series processing is an essential aspect of wind turbine health monitoring. Despite the progress in this field, there is still room for new methods to improve modeling quality…
cs.LG2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
Gonzalo Nápoles, Lisa Koutsoviti Koumeri
The need to measure bias encoded in tabular data that are used to solve pattern recognition problems is widely recognized by academia, legislators and enterprises alike. In previou…