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- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022, 01/09/2022) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (KR 2022, 04/08/2022) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)
- Logic Programming library for Machine Learning: API design and prototype (CILC 2022, 01/08/2022) — Giovanni Ciatto (Giovanni Ciatto, Matteo Castiglio, Roberta Calegari)
- Clustering-Based Approaches for Symbolic Knowledge Extraction (KR 2022 – ML Session@KR 2022, 31/07/2022) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)
- Grounding Trustworthy AI: from high-level principles to technical requirements (IJCAI-ECAI 22, 25/07/2022) — Roberta Calegari (Roberta Calegari, Michela Milano, Catelijne Muller)
- A Mechanism for Reasoning over Defeasible Preferences in Arg2P (CILC 2021, 07/09/2021) — Giuseppe Pisano (Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor)
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021, 01/09/2021) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (EXTRAAMAS 2021@AAMAS 2021, 03/05/2021) — Andrea Agiollo (Andrea Agiollo, Giovanni Ciatto, Andrea Omicini)
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (EXTRAAMAS 2021@AAMAS 2021, 03/05/2021) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Andrea Omicini)