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, «CEUR WORKSHOP PROCEEDINGS», 2025, 3961, pp. 1 - 14 (atti di: 2nd Workshop on AI Bias: Measurements, Mitigation, Explanation Strategies, AIMMES 2025, Spain, 2025) [Contributo in Atti di convegno]
Coordinamento del progetto: 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, «PROCEEDINGS OF THE ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES», 2025, pp. 6504 - 6513 (atti di: 58th Hawaii International Conference on System Sciences, HICSS 2025, usa, 2025) [Contributo in Atti di convegno]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2025, 15450, pp. 257 - 273 (atti di: 23rd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Italy, 2024) [Contributo in Atti di convegno]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2025, 15450, pp. 241 - 256 (atti di: 23rd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Italy, 2024) [Contributo in Atti di convegno]
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 [prefazione]
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, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2024, 1947, pp. 179 - 197 (atti di: International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023, Krakow, Poland, 2023) [Contributo in Atti di convegno]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, «CEUR WORKSHOP PROCEEDINGS», 2024, 3808, pp. 1 - 13 (atti di: 2nd Workshop on Fairness and Bias in AI, AEQUITAS 2024, Santiago di Compostela, 2024) [Contributo in Atti di convegno]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 [articolo]
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 [articolo]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, «CEUR WORKSHOP PROCEEDINGS», 2024, 3808, pp. 1 - 13 (atti di: AEQUITAS 2024: Fairness and Bias in AI – Workshop @ ECAI 2024, Santiago de Compostela, Spain, 20 October 2024) [Contributo in Atti di convegno]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) [Contributo in Atti di convegno]Open Access
Andrea Borghesi, Roberta Calegari, Generation of Clinical Skin Images with Pathology with Scarce Data, in: AI for Health Equity and Fairness, «STUDIES IN COMPUTATIONAL INTELLIGENCE», 2024, 1164, pp. 47 - 64 (atti di: THE 8th INTERNATIONAL WORKSHOP ON HEALTH INTELLIGENCE, Vancouver, Canada, 27-27 Febbraio 2024) [Contributo in Atti di convegno]
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 [prefazione]
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, «CEUR WORKSHOP PROCEEDINGS», 2024, 3808, pp. 1 - 15 (atti di: 2nd Workshop on Fairness and Bias in AI, AEQUITAS 2024, Santiago de Compostela, Spain, October 20th, 2024) [Contributo in Atti di convegno]Open Access
