DE FILIPPO, Allegra; Galassi, Andrea; Soriani, Alessandro; Trisolini, Giada; Baldo, Federico; Chesani, Federico; Mello, Paola; Milano, Michela, Improving the Teaching of Artificial Intelligence Through Project-Based Learning on a Board Game, «INTELLIGENZA ARTIFICIALE», in corso di stampa, 0, pp. 1 - 13 [Scientific article]Open Access
Braccini, Michele; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications, in: Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025, pp. 348 - 354 (atti di: 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), Lisbon, Portugal, 27-29 January 2025) [Contribution to conference proceedings]
Stacchio, Lorenzo; Garzarella, Silvia; Cascarano, Pasquale; De Filippo, Allegra; Cervellati, Elena; Marfia, Gustavo, DanXe: an Extended Artificial Intelligence Framework to Analyze and Promote Dance Heritage, «DIGITAL APPLICATIONS IN ARCHAEOLOGY AND CULTURAL HERITAGE», 2024, 33, pp. 1 - 22 [Scientific article]
De Filippo A.; Milano M., Large Language Models for Human-AI Co-Creation of Robotic Dance Performances, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence AI, Arts & Creativity, International Joint Conferences on Artificial Intelligence, «IJCAI», 2024, pp. 7627 - 7635 (atti di: 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, Korea, 3-9 August 2024) [Contribution to conference proceedings]Open Access
De Filippo A.; Di Giacomo E.; Borghesi A., Machine learning approaches to predict the execution time of the meteorological simulation software COSMO, «JOURNAL OF INTELLIGENT INFORMATION SYSTEMS», 2024, x, pp. 1 - 25 [Scientific article]
Silvia Garzarella, Lorenzo Stacchio, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia, Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev, in: CREAI 2024, Workshop on Artificial Intelligence and Creativity, 2024, 3810, pp. 88 - 97 (atti di: International Workshop on Artificial Intelligence and Creativity (CREAI), co-located with ECAI 2024, Santiago de Compostela, 19-24/10/2024) [Contribution to conference proceedings]
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, 2024, 3810, pp. 162 - 172 (atti di: 3rd Workshop on Artificial Intelligence and Creativity, CREAI 2024, Santiago de Compostela, Spain, October 20th, 2024) [Contribution to conference proceedings]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) [Contribution to conference proceedings]
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 [Scientific article]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, 2023, 3519, pp. 1 - 3 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023 (co-located with AIxIA 2023), Roma, 2023) [Contribution to conference proceedings]
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
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]
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
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]
