2 papers
cs.LG2026
PREF-XAI: Preference-Based Personalized Rule Explanations of Black-Box Machine Learning Models
Salvatore Greco, Jacek Karolczak, Roman Słowiński +1
Explainable artificial intelligence (XAI) has predominantly focused on generating model-centric explanations that approximate the behavior of black-box models. However, such explan…
cs.LG2025
An Explainable and Interpretable Composite Indicator Based on Decision Rules
Salvatore Corrente, Salvatore Greco, Roman Słowiński +1
Composite indicators are widely used to score or classify units evaluated on multiple criteria. Their construction typically involves aggregating criteria evaluations, a common pra…