Sabbatini, F.; Calegari, R., Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques, in: Artificial Intelligence. ECAI 2023 International Workshops. ECAI 2023. Communications in Computer and Information Science, Cham, Springer, 2024, 1947, pp. 179 - 197 (atti di: International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023, Krakow, Poland, 2023) [Contribution to conference proceedings]Open Access
Marrero, A. S.; Marrero, G. A.; Bethencourt, C.; James, L.; Calegari, R., AI-fairness and equality of opportunity: a case study on educational achievement, in: AEQUITAS 2024 - Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence, ECAI 2024, CEUR-WS, 2024, 3808, pp. 1 - 13 (atti di: 2nd Workshop on Fairness and Bias in AI, AEQUITAS 2024, Santiago di Compostela, 2024) [Contribution to conference proceedings]Open Access
Sabbatini F.; Grimani C.; Calegari R., Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence, «ADVANCES IN SPACE RESEARCH», 2024, 74, pp. 505 - 517 [Scientific article]
Robaldo, Livio; Batsakis, Sotiris; Calegari, Roberta; Calimeri, Francesco; Fujita, Megumi; Governatori, Guido; Morelli, Maria Concetta; Pacenza, Francesco; Pisano, Giuseppe; Satoh, Ken; Tachmazidis, Ilias; Zangari, Jessica, Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies, «ARTIFICIAL INTELLIGENCE AND LAW», 2024, 32, pp. 505 - 555 [Scientific article]Open Access
Magnini, Matteo; Ciatto, Giovanni; Calegari, Roberta; Omicini, Andrea, Enforcing Fairness via Constraint Injection with FaUCI, in: AEQUITAS 2024: Fairness and Bias in AI, Aachen, CEUR-WS, 2024, 3808, pp. 1 - 13 (atti di: AEQUITAS 2024: Fairness and Bias in AI – Workshop @ ECAI 2024, Santiago de Compostela, Spain, 20 October 2024) [Contribution to conference proceedings]Open Access
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano, Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence AI for Good, IJCAI, 2024, pp. 7412 - 7420 (atti di: International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 8-14 Agosto 2024) [Contribution to conference proceedings]Open Access
Andrea Borghesi, Roberta Calegari, Generation of Clinical Skin Images with Pathology with Scarce Data, in: AI for Health Equity and Fairness, 2024, 1164, pp. 47 - 64 (atti di: THE 8th INTERNATIONAL WORKSHOP ON HEALTH INTELLIGENCE, Vancouver, Canada, 27-27 Febbraio 2024) [Contribution to conference proceedings]
Calegari R.; Giannotti F.; Pratesi F.; Milano M., Introduction to Special Issue on Trustworthy Artificial Intelligence, in: Special Issue on Trustworthy Artificial Intelligence, 1601 Broadway, 10th Floor, NEW YORK, NY USA, ASSOC COMPUTING MACHINERY, 2024, pp. 1 - 3 [Preface]
Giuliani, L.; Misino, E.; Calegari, R.; Lombardi, M., Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes, in: Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), CEUR-WS, 2024, 3808, pp. 1 - 15 (atti di: 2nd Workshop on Fairness and Bias in AI, AEQUITAS 2024, Santiago de Compostela, Spain, October 20th, 2024) [Contribution to conference proceedings]Open Access
Sabbatini, Federico; Calegari, Roberta, On the evaluation of the symbolic knowledge extracted from black boxes, «AI AND ETHICS», 2024, 4, pp. 65 - 74 [Scientific article]
Zama, D.; Borghesi, A.; Ranieri, A.; Manieri, E.; Pierantoni, L.; Andreozzi, L.; Dondi, A.; Neri, I.; Lanari, M.; Calegari, R., Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology, «CHILDREN», 2024, 11, Article number: 1401 , pp. 1 - 21 [Scientific article]Open Access
Calegari, Roberta; Dignum, Virginia; O'Sullivan, Barry, Proceedings of the 2nd Workshop on Fairness and Bias in AI (AEQUITAS 2024), co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Aachen, CEUR-WS, 2024, pp. 227 . [Editorship]Open Access
Sabbatini, F.; Sirocchi, C.; Calegari, R., Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems, in: Proceedings of the 25th Workshop "From Objects to Agents", Aachen, CEUR-WS, 2024, 3735, pp. 221 - 235 (atti di: 25th Workshop "From Objects to Agents", WOA 2024, ita, 2024) [Contribution to conference proceedings]Open Access
Sabbatini, F.; Calegari, R., Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models, in: AEQUITAS 2024 - Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024, 3808, pp. 1 - 18 (atti di: 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago di Compostela, 20 ottobre 2024) [Contribution to conference proceedings]Open Access
Sabbatini, F.; Calegari, R., Untying black boxes with clustering-based symbolic knowledge extraction, «INTELLIGENZA ARTIFICIALE», 2024, 18, pp. 21 - 34 [Scientific article]Open Access
