Per Year
- Special Issue “Computational Logic on Prolog's 50th Anniversary: Highlights from CILC 2022” (special issue) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Burden of Persuasion: A Meta-argumentation Approach (article in journal) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
- (Re)Integration of Logical English and s(CASP) (paper in proceedings) — Galileo Sartor, Jacinto Dàvila, Alessia Fidelangeli, Giuseppe Pisano
- Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023 (editorial/introduction/preface) — Roberta Calegari, Andrea Aler Tubella, Gabriel Gonzalez, Virginia Dignum, Michela Milano
- Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation (paper in proceedings) — Andrea Rafanelli, Stefania Costantini, Andrea Omicini
- Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Special Issue “Advances in Multi-Agent Systems” (special issue) — Andrea Omicini, Stefano Mariani
- Infrastructures for the Edge-Cloud Continuum on a Small Scale: a Practical Case Study (paper in proceedings) — Martina Baiardi, Giovanni Ciatto, Danilo Pianini
- Preface (editorial/introduction/preface) — Davide Calvaresi, Amro Najjar, Andrea Omicini, Kary Främling
- Peer-Reviewed Federated Learning (paper in proceedings) — Mattia Passeri, Andrea Agiollo, Andrea Omicini
- A geometric framework for fairness (paper in proceedings) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
- Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023) (edited volume) — Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Proceedings of the 1st Workshop on AI bias: Measurements, Mitigation, Explanation Strategies co-located with the AI Fairness Cluster Inaugural Conference 2024 (edited volume) — Roberta Calegari, Carlos Castillo, Symeon Papadopoulos, Roger Soraa
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (paper in proceedings) — Federico Sabbatini, Roberta Calegari
publications
without
DOI
/
2023
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personal
Andrea Agiollo
•
Roberta Calegari
•
Giovanni Ciatto
•
Cristian Cosci
•
Angelo Croatti
•
Enrico Denti
•
Matteo Magnini
•
Sara Montagna
•
Andrea Omicini
•
Giuseppe Pisano
•
Andrea Rafanelli
•
Federico Sabbatini