Per anno
- Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- Burden of Persuasion: A Meta-argumentation Approach
(articolo in rivista) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
- Preface - Proceedings 39th International Conference on Logic Programming
(editoriale/introduzione/prefazione) — Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni
- Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023
(editoriale/introduzione/prefazione) — Roberta Calegari, Andrea Aler Tubella, Gabriel Gonzalez, Virginia Dignum, Michela Milano
- Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods
(articolo in rivista) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- Efficient compliance checking of RDF data
(articolo in rivista) — Livio Robaldo, Francesco Pacenza, Jessica Zangari, Roberta Calegari, Francesco Calimeri, Giovanni Siragusa
- Preface
(editoriale/introduzione/prefazione) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini
- A geometric framework for fairness
(articolo in atti) — 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)
(curatela) — Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano
- Explainable Clustering with CREAM
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System
(articolo in atti) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- Multi-Agent Cooperative Argumentation in Arg2P
(articolo in atti) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini
- The PSyKE Technology for Trustworthy Artificial Intelligence
(articolo in atti) — Roberta Calegari, Federico Sabbatini
- Assessing and Enforcing Fairness in the AI Lifecycle
(articolo in atti) — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan
- Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies
(articolo in rivista) — Livio Robaldo, Sotiris Batsakis, Roberta Calegari, Francesco Calimeri, Megumi Fujita, Guido Governatori, Maria Concetta Morelli, Francesco Pacenza, Giuseppe Pisano, Ken Satoh, Ilias Tachmazidis, Jessica Zangari
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score
(articolo in atti) — Federico Sabbatini, Roberta Calegari
- EPTCS 385-Proceedings 39th International Conference on Logic Programming
(curatela) — Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni
— Prodotti
2P
LPaaS
Arg-tuProlog
— Eventi
WOA 2021
— Progetti
CompuLaw
— Associazioni
AIxIA
— Corsi
Foundations of Informatics T-2
Multi-agent Systems (module 2)
Sem. Coding for Lawyers