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- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (article in journal, 2024) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (article in journal, 2024) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
- Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (paper in proceedings, 2024) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (paper in proceedings, 2024) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
- Large language models as oracles for instantiating ontologies with domain-specific knowledge (article in journal, 2024) — Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (paper in proceedings, 2024) — Federico Sabbatini, Roberta Calegari
- On the External Concurrency of Current BDI Frameworks for MAS (paper in proceedings, 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (paper in proceedings, 2024) — Federico Sabbatini, Roberta Calegari
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (paper in proceedings, 2024) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Blending BDI agents with object-oriented and functional programming with JaKtA (article in journal, 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
- Concurrency Model of BDI Programming Frameworks: Why Should We Control It? (paper in proceedings, 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
- Peer-Reviewed Federated Learning (paper in proceedings, 2023) — Mattia Passeri, Andrea Agiollo, Andrea Omicini
- A geometric framework for fairness (paper in proceedings, 2023) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings, 2023) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Measuring Trustworthiness in Neuro-Symbolic Integration (paper in proceedings, 2023) — Andrea Agiollo, Andrea Omicini