Per Year

20 publications without Web of Science 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
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
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings) — Federico Sabbatini, Roberta Calegari
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

20 publications in 2023 without Web of Science ID • top • index • bottom