Foto del docente

Roberta Calegari

Fixed-term Researcher in Tenure Track L. 79/2022

Department of Computer Science and Engineering

Academic discipline: IINF-05/A Information Processing Systems

Publications

Borghesi, Andrea; Calegari, Roberta, 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]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 [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

Calegari, Roberta; Giannotti, Fosca; Pratesi, Francesca; Milano, Michela, SPECIAL ISSUE ON TRUSTWORTHY AI, New York City, ACM Computing Surveys, 2024, pp. 1028 . [Editorship]

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

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, 2023, 3523, pp. 1 - 17 (atti di: 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023, pol, 2023) [Contribution to conference proceedings]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, «IJCAI», 2023, 2023-, pp. 6554 - 6562 (atti di: 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macau, China, August 2023) [Contribution to conference proceedings]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, 2023, 14127, pp. 116 - 129 (atti di: Proceedings of the 5th International Workshop on EXTRAAMAS 2023, London, UK, 2023) [Contribution to conference proceedings]

Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor, Burden of Persuasion: A Meta-argumentation Approach, «JOURNAL OF APPLIED LOGICS», 2023, 10, pp. 393 - 420 [Scientific article]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 [Scientific article]Open Access