Spillo, Giuseppe; De Filippo, Allegra; Musto, Cataldo; Milano, Michela; Semeraro, Giovanni, Comparing data reduction strategies for energy-efficient green recommender systems, «JOURNAL OF INTELLIGENT INFORMATION SYSTEMS», 2025, x, pp. 1 - 27 [articolo]
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) [Contributo in Atti di convegno]
De Filippo, Allegra; Boratto, Ludovico; Spillo, Giuseppe, Human-Centered and Sustainable Recommender Systems, in: UMAP Adjunct '25: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025, pp. 10 - 12 (atti di: ACM Conference on User Modeling, Adaptation and Personalization, New York, 16-19 Giurgno 2025) [Contributo in Atti di convegno]
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», 2025, 19, pp. 17 - 29 [articolo]Open Access
Spillo, Giuseppe; De Filippo, Allegra; Fontana, Emanuele; Milano, Michela; Semeraro, Giovanni, Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping Criteria, in: UMAP '25: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025, pp. 341 - 346 (atti di: ACM Conference on User Modeling, Adaptation and Personalization, New York, 16-19 Giurgno 2025) [Contributo in Atti di convegno]
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]
Boratto, Ludovico; De Filippo, Allegra; Lex, Elisabeth; Ricci, Francesco, First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024), in: RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems, 2024, pp. 1239 - 1241 (atti di: RecSys 2024, Bari, 14-18 ottobre 2024) [Contributo in Atti di convegno]
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]
Spillo, Giuseppe; Valerio, Alberto Gaetano; Franchini, Felice; De Filippo, Allegra; Musto, Cataldo; Milano, Michela; Semeraro, Giovanni, RecSys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models, in: Recommender Systems for Sustainability and Social Good, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2024, pp. 98 - 110 (atti di: Recommender Systems for Sustainability and Social Good, Bari, 18 Ottobre 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: Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2024, 3810, pp. 162 - 172 (atti di: 3rd Workshop on Artificial Intelligence and Creativity, CREAI 2024, Santiago de Compostela, Spain, October 20th, 2024) [Contributo in Atti di convegno]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) [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]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, «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]
