Giuliani, Luca; Ballerini, Francesco; De Filippo, Allegra; Borghesi, Andrea, MusiComb: a Sample-based Approach to Music Generation Through Constraints, in: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), New York, IEEE, 2023, pp. 194 - 198 (atti di: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Atlanta, GA, USA, Novembre 2023) [Contribution to conference proceedings]Open Access
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) [Contribution to conference proceedings]Open Access
Giuliani L.; De Filippo A.; Borghesi A., Towards Intelligent Music Production: A Sample-based Approach, in: CEUR Workshop Proceedings, CEUR-WS, 2023, 3519, pp. 50 - 59 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023, ita, 2023) [Contribution to conference proceedings]Open Access
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: Thirty-Second International Joint Conference on Artificial Intelligence, 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]
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]
De Filippo A.; Borghesi A., Constrained Hardware Dimensioning for AI Algorithms, in: 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) [Contribution to conference proceedings]Open Access
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]
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) [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
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 [Scientific article]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, 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) [Contribution to conference proceedings]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, «IJCAI», 2020, 2021-, pp. 4840 - 4846 (atti di: 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, jpn, 2021) [Contribution to conference proceedings]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) [Contribution to conference proceedings]
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, «IJCAI», 2018, 2018-, pp. 1270 - 1276 (atti di: 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, swe, 2018) [Contribution to conference proceedings]
