Calegari, Roberta; Giannotti, Fosca; Pratesi, Francesca; Milano, Michela, SPECIAL ISSUE ON TRUSTWORTHY AI, New York City, ACM Computing Surveys, 2024, pp. 1028 . [curatela]
Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M., Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation, in: Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2024, 3810, pp. 162 - 172 (atti di: 3rd Workshop on Artificial Intelligence and Creativity, CREAI 2024, Santiago de Compostela, Spain, October 20th, 2024) [Contributo in Atti di convegno]Open Access
Spillo, G.; De Filippo, A.; Musto, C.; Milano, M.; Semeraro, G., Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Model Performances, in: 18th ACM Conference on Recommender Systems, 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, ASSOC COMPUTING MACHINERY, 2024, pp. 866 - 871 (atti di: RecSys 2024, Bari, 14-18 ottobre 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]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
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]
De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, Michela, Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations, in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, ijcai, 2023, pp. 5806 - 5814 (atti di: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, 19-25 agosto 2023) [Contributo in Atti di convegno]Open Access
Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano, A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances, in: CREAI 2022, Workshop on Artificial Intelligence and Creativity, 2022, pp. 84 - 93 (atti di: Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence, Udine, 28 novembre 2022 - 3 dicembre 2022) [Contributo in Atti di convegno]
Borghesi A.; Molan M.; Milano M.; Bartolini A., Anomaly Detection and Anticipation in High Performance Computing Systems, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2022, 33, pp. 739 - 750 [articolo]Open Access
