From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Expanding Data-Agnostic Pivotal Instances Selection Models with Proximity Trees and Ensemble Learning
Alessio Cascione, Mattia Setzu, Cristiano Landi +2
The paper proposes a hierarchical, interpretable model that selects representative pivot instances to make predictions, using proximity and oblique trees together with ensemble met…
cs.LG2025
Fair Clustering with Clusterlets
Mattia Setzu, Riccardo Guidotti
Given their widespread usage in the real world, the fairness of clustering methods has become of major interest. Theoretical results on fair clustering show that fairness enjoys tr…
cs.AI2025
Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
Alessio Cascione, Mattia Setzu, Federico A. Galatolo +2
Decision-making processes in healthcare can be highly complex and challenging. Machine Learning tools offer significant potential to assist in these processes. However, many curren…