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cs.AI2026
Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation
Manuele Leonelli
Large language models are rapidly becoming infrastructural components in high-stakes institutional settings, including public administration, legal reasoning, and healthcare, where…
cs.AI2024
bnRep: A repository of Bayesian networks from the academic literature
Manuele Leonelli
Bayesian networks (BNs) are widely used for modeling complex systems with uncertainty, yet repositories of pre-built BNs remain limited. This paper introduces bnRep, an open-source…
cs.AI2024
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks
Rafael Ballester-Ripoll, Manuele Leonelli
Traditionally, the sensitivity analysis of a Bayesian network studies the impact of individually modifying the entries of its conditional probability tables in a one-at-a-time (OAT…