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
Farooq, Emmen; Milano, Michela; Borghesi, Andrea, Harnessing federated learning for anomaly detection in supercomputer nodes, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 161, pp. 673 - 685 [articolo]
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]
De Filippo A.; Milano M., Large Language Models for Human-AI Co-Creation of Robotic Dance Performances, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence AI, Arts & Creativity, International Joint Conferences on Artificial Intelligence, 2024, pp. 7627 - 7635 (atti di: 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, Korea, 3-9 August 2024) [Contributo in Atti di convegno]Open Access
Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano, Special Issue on Trustworthy AI, New York City, ACM Computing Surveys, 2024, pp. 453 . [curatela]
Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M., Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2024, 3810, pp. 162 - 172 (atti di: 3rd Workshop on Artificial Intelligence and Creativity, CREAI 2024, esp, 2024) [Contributo in Atti di convegno]
Silvestri, Mattia; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems, «KNOWLEDGE-BASED SYSTEMS», 2024, 303, pp. 1 - 16 [articolo]
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
De Filippo A.; Milano M.; Presutti V.; Saffiotti A., CREAI 2023 - Preface to the Second Workshop on Artificial Intelligence and Creativity, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2023, 3519, pp. 1 - 3 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023 (co-located with AIxIA 2023), Roma, 2023) [Contributo in Atti di convegno]
Misino E.; Calegari R.; Lombardi M.; Milano M., FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System, in: CEUR Workshop Proceedings - 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 - 15 (atti di: 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023, Kraków, Poland, 2023) [Contributo in Atti di convegno]Open Access
Calegari R.; Aler A.; Gabriel T.; Castane G.; Dignum V.; Milano M., Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023, in: CEUR Workshop Proceedings, Aachen, Sun SITE Central Europe (CEUR), Technical University of Aachen (RWTH), 2023, pp. 1 - 2 (CEUR WORKSHOP PROCEEDINGS) [prefazione]
Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano, 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, pp. 221 (CEUR WORKSHOP PROCEEDINGS). [curatela]Open Access
De Filippo, Allegra; Milano, Michela, Robotic Choreography Creation Through Symbolic AI Techniques, in: International Conference on Entertainment Computing, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, pp. 346 - 351 (atti di: International Conference on Entertainment Computing, Bologna, 15/11/2023) [Contributo in Atti di convegno]
Spillo G.; De Filippo A.; Musto C.; Milano M.; Semeraro G., Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint, in: Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Association for Computing Machinery, Inc, 2023, 4, pp. 856 - 862 (atti di: 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, 2023) [Contributo in Atti di convegno]
