Bellatreccia, C.; Zama, D.; Dondi, A.; Pierantoni, L.; Laura, A.; Neri, I.; Lanari, M.; Borghesi, A.; Calegari, R., Addressing Bias and Data Scarcity in AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images, in: CEUR Workshop Proceedings, CEUR-WS, 2025, 3961, pp. 1 - 14 (atti di: 2nd Workshop on AI Bias: Measurements, Mitigation, Explanation Strategies, AIMMES 2025, Spain, 2025) [Contribution to conference proceedings]
Coordination of a Research Project: AEQUITAS: ASSESSMENT AND ENGINEERING OF EQUITABLE, UNBIASED, IMPARTIAL AND TRUSTWORTHY AI SYSTEMS.
Ciatto, G.; Matteini, M.; Sartori, L.; Rebrean, M.; Muller, C.; Borghesi, A.; Calegari, R., AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives, in: Proceedings of the Annual Hawaii International Conference on System Sciences, IEEE Computer Society, 2025, pp. 6504 - 6513 (atti di: 58th Hawaii International Conference on System Sciences, HICSS 2025, usa, 2025) [Contribution to conference proceedings]
Sabbatini, F.; Calegari, R., Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, 2025, 15450, pp. 257 - 273 (atti di: 23rd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Italy, 2024) [Contribution to conference proceedings]
Sabbatini, F.; Calegari, R., ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, 2025, 15450, pp. 241 - 256 (atti di: 23rd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Italy, 2024) [Contribution to conference proceedings]
Calegari, R.; Giannotti, F.; Milano, M.; Pratesi, F., Introduction to Special Issue on Trustworthy Artificial Intelligence (Part II), in: Introduction to Special Issue on Trustworthy Artificial Intelligence (Part II), New York, NY, USA, ACM, 2025, pp. 1 - 3 [Preface]
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
