Roberta Calegari

Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments

Giovanni Ciatto, Andrea Omicini, F. Sabbatini, 2022, Intelligenza Artificiale.

Explainability Through Argumentation in Logic Programming

Giuseppe Contissa, Giovanni Sartor, Marco Billi, 2021, ICLP Workshops.

Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper

Roberta Calegari, Federico Sabbatini, 2022, ArXiv.

Taking stock of available technologies for compliance checking on first-order knowledge

Maria Concetta Morelli, L. Robaldo, Francesco Calimeri, 2022, CILC.

Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies

Maria Concetta Morelli, L. Robaldo, Francesco Calimeri, 2023, Artificial Intelligence and Law.

Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO

Roberta Calegari, Federico Sabbatini, 2022, KR.

On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction

Giovanni Ciatto, A. Omicini, Roberta Calegari, 2021, WOA.

Bridging Machine Learning and Diagnostics of the ESA LISA Space Mission with Equation Discovery via Explainable Artificial Intelligence

C. Grimani, Roberta Calegari, Federico Sabbatini, 2024, Advances in Space Research.