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
De Filippo A.; Lombardi M.; Milano M., Hybrid offline/online optimization under uncertainty, in: Frontiers in Artificial Intelligence and Applications, IOS Press BV, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2020, 325, pp. 2899 - 2900 (atti di: 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, esp, 2020) [Contributo in Atti di convegno]Open Access
De Filippo A.; Lombardi M.; Milano M., The blind men and the elephant: Integrated offline/online optimization under uncertainty, in: PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, International Joint Conferences on Artificial Intelligence, 2020, 2021-, pp. 4840 - 4846 (atti di: 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, jpn, 2021) [Contributo in Atti di convegno]Open Access
De Filippo, Allegra; Lombardi, Michele; Milano, Michela, How to Tame Your Anticipatory Algorithm, in: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, pp. 1071 - 1077 (atti di: International Joint Conference on Artificial Intelligence, Macao, Agosto 2019) [Contributo in Atti di convegno]
De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Methods for off-line/on-line optimization under uncertainty, in: IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2018, 2018-, pp. 1270 - 1276 (atti di: 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, swe, 2018) [Contributo in Atti di convegno]
De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018, 10848, pp. 100 - 116 (atti di: CPAIOR 2018, Delft, 26-29 giugno 2018) [Contributo in Atti di convegno]
