Per Year

20 publications without Google Scholar ID / 2023 / Roberta Calegari

long bib

2023

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
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
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
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings) — Federico Sabbatini, Roberta Calegari
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
The PSyKE Technology for Trustworthy Artificial Intelligence (paper in proceedings) — Roberta Calegari, Federico Sabbatini
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
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

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