Borghesi, Andrea; Calegari, Roberta, 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]Open Access
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
Sabbatini, Federico; Calegari, Roberta, On the evaluation of the symbolic knowledge extracted from black boxes, «AI AND ETHICS», 2024, 4, pp. 65 - 74 [articolo]
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 [articolo]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 . [curatela]Open Access
Calegari, Roberta; Giannotti, Fosca; Pratesi, Francesca; Milano, Michela, SPECIAL ISSUE ON TRUSTWORTHY AI, New York City, ACM Computing Surveys, 2024, pp. 1028 . [curatela]
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, «CEUR WORKSHOP PROCEEDINGS», 2024, 3735, pp. 221 - 235 (atti di: 25th Workshop "From Objects to Agents", WOA 2024, ita, 2024) [Contributo in Atti di convegno]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), «CEUR WORKSHOP PROCEEDINGS», 2024, 3808, pp. 1 - 18 (atti di: 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago di Compostela, 20 ottobre 2024) [Contributo in Atti di convegno]Open Access
Sabbatini, F.; Calegari, R., Untying black boxes with clustering-based symbolic knowledge extraction, «INTELLIGENZA ARTIFICIALE», 2024, 18, pp. 21 - 34 [articolo]Open Access
Maggio A.; Giuliani L.; Calegari R.; Lombardi M.; Milano M., A geometric framework for fairness, in: Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Aachen, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2023, 3523, pp. 1 - 17 (atti di: 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023, pol, 2023) [Contributo in Atti di convegno]Open Access
Calegari R.; Castane G.G.; Milano M.; O'Sullivan B., Assessing and Enforcing Fairness in the AI Lifecycle, in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), International Joint Conferences on Artificial Intelligence, 2023, 2023-, pp. 6554 - 6562 (atti di: 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macau, China, August 2023) [Contributo in Atti di convegno]Open Access
Sabbatini F.; Calegari R., Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors, 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», 2023, 14127, pp. 116 - 129 (atti di: Proceedings of the 5th International Workshop on EXTRAAMAS 2023, London, UK, 2023) [Contributo in Atti di convegno]
Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor, Burden of Persuasion: A Meta-argumentation Approach, «JOURNAL OF APPLIED LOGICS», 2023, 10, pp. 393 - 420 [articolo]Open Access
Robaldo L.; Pacenza F.; Zangari J.; Calegari R.; Calimeri F.; Siragusa G., Efficient compliance checking of RDF data, «JOURNAL OF LOGIC AND COMPUTATION», 2023, 33, pp. 1753 - 1776 [articolo]Open Access
