Bellatreccia, Chiara; Zama, Daniele; Dondi, Arianna; Pierantoni, Luca; Andreozzi, Laura; Neri, Iria; Lanari, Marcello; Borghesi, Andrea; Calegari, Roberta, AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images: Tackling Bias and Data Limitations, in: Proceedings of the 59th Hawaii International Conference on System Sciences, 2026, pp. 3515 - 3525 (atti di: Hawaii International Conference on System Sciences, Hawaii, 6-9 Gennaio 2026) [Contribution to conference proceedings]
Agiollo, Andrea; Calegari, Roberta; Ciatto, Giovanni; Magnini, Matteo; Omicini, Andrea; Sabbatini, Federico, Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration, in: The Agents Journey: Twenty-Five Years of Multi-agent Systems, Cham, Springer Nature Switzerland, 2026, pp. 320 - 339 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]
Coordination of a Research Project: AEQUITAS: ASSESSMENT AND ENGINEERING OF EQUITABLE, UNBIASED, IMPARTIAL AND TRUSTWORTHY AI SYSTEMS.
Calegari, R., AI Fairness Compliance: Operationalizing the Integration of Social and Legal Perspectives into AI Fairness Metrics, in: ECAI 2025, 2025, 413, pp. 1043 - 1050 (atti di: ECAI 2025, Bologna, Italy, 25-30 October 2025) [Contribution to conference proceedings]Open Access
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, Piscataway, NJ, IEEE Computer Society, 2025, pp. 6504 - 6513 (atti di: 58th Hawaii International Conference on System Sciences, HICSS 2025, island o maui (USA), 2025) [Contribution to conference proceedings]Open Access
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]Open Access
Sabbatini, F.; Calegari, R., Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors, in: AIxIA 2024 – Advances in Artificial Intelligence. XXIIIrd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Bolzano, Italy, November 25–28, 2024. Proceedings, 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, Bolzano, Italy, November 25–28, 2024) [Contribution to conference proceedings]Open Access
Sabbatini, F.; Calegari, R., ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality, in: AIxIA 2024 – Advances in Artificial Intelligence. XXIIIrd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Bolzano, Italy, November 25–28, 2024. Proceedings, 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, Bolzano, Italy, November 25–28, 2024) [Contribution to conference proceedings]Open Access
Calegari, R.; Giannotti, F.; Milano, M.; Pratesi, F., Introduction, in: Special Issue on Trustworthy Artificial Intelligence (Part II), New York, NY, USA, ACM, 2025, pp. 1 - 3 [Preface]Open Access
Sabbatini, F.; Calegari, R., Symbolic Knowledge Quality Evaluation with WInd, in: CEUR Workshop Proceedings, CEUR-WS, 2025, 4028, pp. 124 - 139 (atti di: 26th Workshop on From Objects to Agents, WOA 2025, Department of Economics and Management (DEM), University, ita, 2025) [Contribution to conference proceedings]
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.; 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
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
