Per Year
- Special Issue “Computational Logic on Prolog's 50th Anniversary: Highlights from CILC 2022” (special issue) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini
- Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- 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
- Preface - Proceedings 39th International Conference on Logic Programming (editorial/introduction/preface) — 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 (editorial/introduction/preface) — Roberta Calegari, Andrea Aler Tubella, Gabriel Gonzalez, Virginia Dignum, Michela Milano
- Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (article in journal) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Efficient compliance checking of RDF data (article in journal) — Livio Robaldo, Francesco Pacenza, Jessica Zangari, Roberta Calegari, Francesco Calimeri, Giovanni Siragusa
- Preface (editorial/introduction/preface) — Roberta Calegari, Giovanni Ciatto, 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
- Explainable Clustering with CREAM (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- 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
- Multi-Agent Cooperative Argumentation in Arg2P (paper in proceedings) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini
- The PSyKE Technology for Trustworthy Artificial Intelligence (paper in proceedings) — Roberta Calegari, Federico Sabbatini
- Assessing and Enforcing Fairness in the AI Lifecycle (paper in proceedings) — 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 (article in journal) — 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 (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- EPTCS 385-Proceedings 39th International Conference on Logic Programming (edited volume) — Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni