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 [articolo]
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, 2024, pp. 7627 - 7635 (atti di: 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, Korea, 3-9 August 2024) [Contributo in Atti di convegno]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 [articolo]
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) [Contributo in Atti di convegno]
Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M., Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2024, 3810, pp. 162 - 172 (atti di: 3rd Workshop on Artificial Intelligence and Creativity, CREAI 2024, esp, 2024) [Contributo in Atti di convegno]
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 [articolo]
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, «CEUR WORKSHOP PROCEEDINGS», 2023, 3519, pp. 1 - 3 (atti di: 2nd Workshop on Artificial Intelligence and Creativity, CREAI 2023 (co-located with AIxIA 2023), Roma, 2023) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]Open Access
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
