Farooq, Emmen; Milano, Michela; Borghesi, Andrea, Federated LSTM autoencoders for time series anomaly detection in production-scale HPC systems, «KNOWLEDGE-BASED SYSTEMS», 2026, 334, Article number: 115043 , pp. 1 - 19 [Scientific article]
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 [Scientific article]
Braccini, Michele; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications, in: 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025, pp. 348 - 354 (atti di: IEEE AIxVR 2025: 7th IEEE International Conference on Artificial Intelligence & eXtended and Virtual Reality, Lisbon, Portugal, 27-29 January 2025) [Contribution to conference proceedings]Open Access
Farooq, Emmen; Milano, Michela; Borghesi, Andrea, Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer, «EXPERT SYSTEMS WITH APPLICATIONS», 2025, 298, Article number: 129754 , pp. 1 - 15 [Scientific article]
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 [Scientific article]Open Access
Calegari, R.; Giannotti, F.; Milano, M.; Pratesi, F., Introduction to Special Issue on Trustworthy Artificial Intelligence (Part II), in: Introduction to Special Issue on Trustworthy Artificial Intelligence (Part II), New York, NY, USA, ACM, 2025, pp. 1 - 3 [Preface]
Braccini, Michele; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Towards a Human-in-the-Loop Framework for Swarm Intelligence-Driven Dance Generation, in: Image Analysis and Processing – ICIAP 2025 Workshops, 2025, pp. 625 - 636 (atti di: 1st International Workshop on Humans in the eXtended Artificial Intelligence Loop (HUARL 2025) - ICIAP 2025, Roma, September 15–19, 2025) [Contribution to conference proceedings]
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 Giugno 2025) [Contribution to conference proceedings]Open Access
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano, Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence AI for Good, IJCAI, 2024, pp. 7412 - 7420 (atti di: International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 8-14 Agosto 2024) [Contribution to conference proceedings]Open Access
Farooq, Emmen; Milano, Michela; Borghesi, Andrea, Harnessing federated learning for anomaly detection in supercomputer nodes, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 161, pp. 673 - 685 [Scientific article]Open Access
Calegari R.; Giannotti F.; Pratesi F.; Milano M., Introduction to Special Issue on Trustworthy Artificial Intelligence, in: Special Issue on Trustworthy Artificial Intelligence, 1601 Broadway, 10th Floor, NEW YORK, NY USA, ASSOC COMPUTING MACHINERY, 2024, pp. 1 - 3 [Preface]
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
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, 2024, pp. 98 - 110 (atti di: Recommender Systems for Sustainability and Social Good, Bari, 18 Ottobre 2024) [Contribution to conference proceedings]
Calegari, Roberta; Giannotti, Fosca; Pratesi, Francesca; Milano, Michela, SPECIAL ISSUE ON TRUSTWORTHY AI, New York City, ACM Computing Surveys, 2024, pp. 1028 . [Editorship]
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
