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). [Editorship]Open Access
De Filippo, Allegra; Milano, Michela, Robotic Choreography Creation Through Symbolic AI Techniques, in: International Conference on Entertainment Computing, 2023, pp. 346 - 351 (atti di: International Conference on Entertainment Computing, Bologna, 15/11/2023) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]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) [Contribution to conference proceedings]
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 [Scientific article]Open Access
De Filippo A.; Milano M.; Presutti V.; Saffiotti A., CREAI 2022 - Preface to the First Workshop on Artificial Intelligence and Creativity, in: CEUR Workshop Proceedings, CEUR-WS, 2022, 3278, pp. 1 - 3 (atti di: 1st Workshop on Artificial Intelligence and Creativity, CREAI 2022 (co-located AIxIA 2022), Udine, 2022) [Contribution to conference proceedings]
De Filippo A.; Mello P.; Milano M., Do You Like Dancing Robots? AI Can Tell You Why, in: PAIS 2022, 2022, 351, pp. 45 - 58 (atti di: 11th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2022), Vienna, 25/07/2022) [Contribution to conference proceedings]Open Access
De Filippo, A; Borghesi, A; Boscarino, A; Milano, M, HADA: An automated tool for hardware dimensioning of AI applications, «KNOWLEDGE-BASED SYSTEMS», 2022, 251, Article number: 109199 , pp. 1 - 18 [Scientific article]Open Access
Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano, Informed Deep Learning for Epidemics Forecasting, in: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, IOS Press BV, 2022, 351, pp. 86 - 99 (atti di: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, IJCAI-ECAI 2022, aut, 2022) [Contribution to conference proceedings]Open Access
Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela, An Analysis of Regularized Approaches for Constrained Machine Learning, in: Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020., Cham, Springer, 2021, 12641, pp. 112 - 119 (atti di: 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020, Online, 4-5 September 2020) [Contribution to conference proceedings]Open Access
Helmberg H.; Lacalandra F.; Schmidt M.; Henriques C.; De Filippo A.; Lombardi M.; Milano M.; Ezran P.; Haddad Y.; Diekerhof M.; Madani M., Finance, Regulations, Politics and Market Design, in: AIRO Springer Series, Berlin, Springer Nature, 2021, pp. 59 - 75 (AIRO SPRINGER SERIES) [Chapter or essay]
Silvestri M.; Lombardi M.; Milano M., Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Springer Science and Business Media Deutschland GmbH, 2021, 12735, pp. 266 - 282 (atti di: 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2021, Vienna, Austria, 5 - 8 July 2021) [Contribution to conference proceedings]Open Access
De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Integrated Offline and Online Decision Making under Uncertainty, «THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH», 2021, 70, pp. 77 - 117 [Scientific article]Open Access
Diekerhof M.; Monti A.; Lebedeva E.; Tkaczyk A.H.; Yuksel-Ergun I.; Zittel J.; Escudero L.F.; Soroudi A.; Helmberg C.; Kanovic Z.; Petkovic M.; Lacalandra F.; Frangioni A.; Lee J.; De Filippo A.; Lombardi M.; Milano M.; Ezran P.; Haddad Y., Production and Demand Management, in: AIRO Springer Series, Berlin, Springer Nature, 2021, pp. 3 - 25 (AIRO SPRINGER SERIES) [Chapter or essay]
