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]
Francobaldi M.; De Filippo A.; Borghesi A.; Pizurica N.; Jovancevi I.; Llewellynn T.; de Prado M., TinderAI: Support System for Matching AI Algorithms and Embedded Devices, in: The International FLAIRS Conference Proceedings, 2023, 36, pp. 1 - 5 (atti di: FLAIRS, Clearwater Beach, USA, 14 May 2023 through 17 May 2023) [Contributo in Atti di convegno]Open Access
Giuliani L.; De Filippo A.; Borghesi A., Towards Intelligent Music Production: A Sample-based Approach, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2023, 3519, pp. 50 - 59 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023, ita, 2023) [Contributo in Atti di convegno]Open Access
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]
De Filippo A.; Borghesi A., Constrained Hardware Dimensioning for AI Algorithms, in: Frontiers in Artificial Intelligence and Applications, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2022, 351, pp. 145 - 148 (atti di: 11th International Conference on Prestigious Applications of Intelligent Systems PAIS 2022, Vienna, 25 Luglio 2022) [Contributo in Atti di convegno]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, «CEUR WORKSHOP PROCEEDINGS», 2022, 3278, pp. 1 - 3 (atti di: 1st Workshop on Artificial Intelligence and Creativity, CREAI 2022 (co-located AIxIA 2022), Udine, 2022) [Contributo in Atti di convegno]
De Filippo A.; Mello P.; Milano M., Do You Like Dancing Robots? AI Can Tell You Why, in: PAIS 2022, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2022, 351, pp. 45 - 58 (atti di: 11th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2022), Vienna, 25/07/2022) [Contributo in Atti di convegno]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 [articolo]Open Access
Silvestri M.; De Filippo A.; Ruggeri F.; Lombardi M., Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, 2022, 13292, pp. 358 - 373 (atti di: 19th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, Los Angeles, 20-23 giugno 2022) [Contributo in Atti di convegno]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) [capitolo di libro]
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 [articolo]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) [capitolo di libro]
Bianchi S.; De Filippo A.; Magnani S.; Mosaico G.; Silvestro F., Virtus project: A scalable aggregation platform for the intelligent virtual management of distributed energy resources, «ENERGIES», 2021, 14, Article number: 3663, pp. 3663 - 3694 [articolo]Open Access
