Foto del docente

Michela Milano

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Head of Centro Interdipartimentale Alma Mater Research Institute for Human-Centered Artificial Intelligence — (Alma AI)

Publications

Maggio A.; Giuliani L.; Calegari R.; Lombardi M.; Milano M., A geometric framework for fairness, in: Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), CEUR-WS, 2023, 3523, pp. 1 - 17 (atti di: 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023, pol, 2023) [Contribution to conference proceedings]

Calegari R.; Castane G.G.; Milano M.; O'Sullivan B., Assessing and Enforcing Fairness in the AI Lifecycle, in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), International Joint Conferences on Artificial Intelligence, «IJCAI», 2023, 2023-, pp. 6554 - 6562 (atti di: 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macau, China, August 2023) [Contribution to conference proceedings]

Misino E.; Calegari R.; Lombardi M.; Milano M., FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System, in: CEUR Workshop Proceedings - Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), CEUR-WS, 2023, 3523, pp. 1 - 15 (atti di: 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023, Kraków, Poland, 2023) [Contribution to conference proceedings]

Calegari R.; Aler A.; Gabriel T.; Castane G.; Dignum V.; Milano M., Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023, in: CEUR Workshop Proceedings, Aachen, Sun SITE Central Europe (CEUR), Technical University of Aachen (RWTH), 2023, pp. 1 - 2 (CEUR WORKSHOP PROCEEDINGS) [Preface]

Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano, Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Aachen, CEUR-WS, 2023, pp. 221 . [Editorship]

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]

Borghesi A.; Molan M.; Milano M.; Bartolini A., Anomaly Detection and Anticipation in High Performance Computing Systems, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2022, 33, pp. 739 - 750 [Scientific article]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]

Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano, Informed Deep Learning for Epidemics Forecasting, in: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, IOS Press BV, 2022, 351, pp. 86 - 99 (atti di: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, IJCAI-ECAI 2022, aut, 2022) [Contribution to conference proceedings]Open Access

Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela, An Analysis of Regularized Approaches for Constrained Machine Learning, in: Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020., Cham, Springer, 2021, 12641, pp. 112 - 119 (atti di: 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020, Online, 4-5 September 2020) [Contribution to conference proceedings]Open Access

Silvestri M.; Lombardi M.; Milano M., Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Springer Science and Business Media Deutschland GmbH, 2021, 12735, pp. 266 - 282 (atti di: 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2021, Vienna, Austria, 5 - 8 July 2021) [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

Fabrizio Detassis, Michele Lombardi, Michela Milano, Teaching the Old Dog New Tricks: Supervised Learning with Constraints, in: Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI}2021, Thirty-Third Conference on Innovative Applications of ArtificialIntelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advancesin Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9,2021, {AAAI} Press, 2021, 35, pp. 3742 - 3749 (atti di: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual event, 2-9 February) [Contribution to conference proceedings]

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