Foto del docente

Michele Lombardi

Professore associato

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

De Filippo, Allegra; Lombardi, Michele; Milano, Michela, How to Tame Your Anticipatory Algorithm, in: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, pp. 1071 - 1077 (atti di: International Joint Conference on Artificial Intelligence, Macao, Agosto 2019) [Contributo in Atti di convegno]

Chisca D.S.; Lombardi M.; Milano M.; O'Sullivan B., Logic-Based Benders Decomposition for Super Solutions: An Application to the Kidney Exchange Problem, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2019, 11802, pp. 108 - 125 (atti di: 25th International Conference on Principles and Practice of Constraint Programming, CP 2019, usa, 2019) [Contributo in Atti di convegno]

Lombardi, Michele; Milano, Michela, Boosting combinatorial problem modeling with machine learning, in: IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2018, 2018-, pp. 5472 - 5478 (atti di: 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, swe, 2018) [Contributo in Atti di convegno]

Chisca, Danuta; Lombardi, Michele; Milano, Michela; O'Sullivan, Barry, From Offline to Online Kidney Exchange Optimization, in: IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece, IEEE, 2018, pp. 587 - 591 (atti di: IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, Volos, Greece, 5-7 November 2018) [Contributo in Atti di convegno]

Cauwelaert, Sascha Van*; Lombardi, Michele; Schaus, Pierre, How efficient is a global constraint in practice?: A fair experimental framework, «CONSTRAINTS», 2018, 23, pp. 87 - 122 [articolo]

De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Methods for off-line/on-line optimization under uncertainty, in: IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2018, 2018-, pp. 1270 - 1276 (atti di: 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, swe, 2018) [Contributo in Atti di convegno]

Galassi Andrea, Lombardi Michele, Mello Paola, Milano Michela, Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study, in: Willem-Jan van Hoeve, Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Springer International Publishing, «LECTURE NOTES IN COMPUTER SCIENCE», 2018, pp. 254 - 262 (atti di: 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Delft, The Netherlands, June 26–29, 2018) [Contributo in Atti di convegno]

De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018, 10848, pp. 100 - 116 (atti di: CPAIOR 2018, Delft, 26-29 giugno 2018) [Contributo in Atti di convegno]

Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, Scheduling-based power capping in high performance computing systems, «SUSTAINABLE COMPUTING», 2018, 19, pp. 1 - 13 [articolo]Open Access

Lombardi, Michele; Milano, Michela; Bartolini, Andrea, Empirical decision model learning, «ARTIFICIAL INTELLIGENCE», 2017, 244, pp. 343 - 367 [articolo]Open Access

Salvagnin, Domenico; Lombardi, Michele, Introduction to the CPAIOR 2017 fast track issue, «CONSTRAINTS», 2017, 22, pp. 491 - 492 [replica/breve intervento]

DE FILIPPO, Allegra; Lombardi, Michele; Milano, Michela; Borghetti, Alberto, Robust Optimization for Virtual Power Plants, in: Proceedings of AI*IA 2017, 2017, 10640, pp. 17 - 30 (atti di: AI*IA 2017 - 16th International Conference of the Italian Association for Artificial Intelligence, Bari, 14-17 Nov 2017) [Contributo in Atti di convegno]

DE FILIPPO, Allegra; Lombardi, Michele; Milano, Michela, User-aware electricity price optimization for the competitive market, «ENERGIES», 2017, 10, Article number: 1378, pp. 1 - 23 [articolo]Open Access

Bridi, Thomas; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2016, 27, Article number: 7378987, pp. 2781 - 2794 [articolo]Open Access

Lombardi, Michele; Gualandi, Stefano, A lagrangian propagator for artificial neural networks in constraint programming, «CONSTRAINTS», 2016, 21, pp. 435 - 462 [articolo]

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