Foto del docente

Michela Milano

Professoressa ordinaria

Dipartimento di Informatica - Scienza e Ingegneria

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

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

Pubblicazioni

Bridi, Thomas; Lombardi, Michele; Bartolini, Andrea; Benini, Luca; Milano, Michela, DARDIS: Distributed and randomized DIspatching and scheduling, in: Frontiers in Artificial Intelligence and Applications, ;Nieuwe Hemweg 6B, IOS Press, 2016, 285, pp. 1598 - 1599 (atti di: 22nd European Conference on Artificial Intelligence, ECAI 2016, nld, 2016) [Contributo in Atti di convegno]

Bridi, Thomas; Lombardi, Michele; Bartolini, Andrea; Benini, Luca; Milano, Michela, DARDIS: Distributed and randomized dispatching and scheduling, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2016, 10037, pp. 493 - 507 (atti di: 15th International Conference on Italian Association for Artificial Intelligence, AIIA 2016, ita, 2016) [Contributo in Atti di convegno]

De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Non-linear optimization of business models in the electricity market, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2016, 9676, pp. 81 - 97 (atti di: 13th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming, CPAIOR 2016, can, 2016) [Contributo in Atti di convegno]

Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, Predictive modeling for job power consumption in HPC systems, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2016, 9697, pp. 181 - 199 (atti di: 31st International Conference on High Performance Computing, ISC High Performance 2016, deu, 2016) [Contributo in Atti di convegno]

Bonfietti, Alessio; Zanarini, Alessandro; Lombardi, Michele; Milano, Michela, The multirate resource constraint, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2016, 9892, pp. 113 - 129 (atti di: 22nd International Conference on Principles and Practice of Constraint Programming, CP 2016, fra, 2016) [Contributo in Atti di convegno]

Bridi, Thomas; Lombardi, Michele; Bartolini, Andrea; Benini, Luca; Milano, Michela, A CP scheduler for high-performance computers, in: CEUR Workshop Proceedings, CEUR-WS, 2015, 1485, pp. 37 - 42 (atti di: 2015 Italian Association for Artificial Intelligence Doctoral Consortium, AI*IA DC 2015, ita, 2015) [Contributo in Atti di convegno]

Iachini, Valerio; Borghesi, Andrea; Milano, Michela, Agent based simulation of incentive mechanisms on photovoltaic adoption, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2015, 9336, pp. 136 - 148 (atti di: 14th International Conference of the Italian Association for Artificial Intelligence, 2015, ita, 2015) [Contributo in Atti di convegno]

Lombardi, Michele; Bonfietti, Alessio; Milano, Michela, Deterministic estimation of the expected makespan of a POS under duration uncertainty, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2015, 9255, pp. 279 - 294 (atti di: 21st International Conference on the Principles and Practice of Constraint Programming, CP 2015, irl, 2015) [Contributo in Atti di convegno]

Bonfietti, Alessio; Lombardi, Michele; Milano, Michela, Embedding Decision Trees and Random Forests in Constraint Programming, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2015, 9075, pp. 74 - 90 (atti di: 12th International Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming, CPAIOR 2015, esp, 2015) [Contributo in Atti di convegno]

Milano, Michela; Van Hentenryck, Pascal, Emerging architectures for global system science, in: Miiano, Michela, Proceedings of the National Conference on Artificial Intelligence, AI Access Foundation, 2015, 6, pp. 4042 - 4046 (atti di: 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015, usa, 2015) [Contributo in Atti di convegno]

Borghesi, Andrea; Collina, Francesca; Lombardi, Michele; Milano, Michela; Benini, Luca, Power capping in high performance computing systems, in: Principles and Practice of Constraint Programming. CP 2015, Berlin, Springer Verlag, 2015, pp. 524 - 540 (LECTURE NOTES IN COMPUTER SCIENCE) [capitolo di libro]Open Access

Federico, Caselli; Alessio, Bonfietti; Michela, Milano, Swarm-Based Controller for Traffic Lights Management., in: Advances in Artificial Intelligence, Heidelberg, Springer Verlag, 2015, 9336, pp. 17 - 30 (atti di: XIVth International Conference of the Italian Association for Artificial Intelligence, Ferrara, September 23-25, 2015) [Contributo in Atti di convegno]

Ruppert, Tobias; Dambruch, Jens; Krämer, Michel; Balke, Tina; Gavanelli, Marco; Bragaglia, Stefano; Chesani, Federico; Milano, Michela; Kohlhammer, Jörn, Visual decision support for policy making: Advancing policy analysis with visualization, in: Ruppert, Tobias*, Policy Practice and Digital Science: Integrating Complex Systems, Social Simulation and Public Administration in Policy Research, Heidelber, Springer International Publishing, 2015, pp. 321 - 353 [capitolo di libro]

Alessio Bonfietti;Michele Lombardi;Luca Benini;Michela Milano, CROSS cyclic resource-constrained scheduling solver, «ARTIFICIAL INTELLIGENCE», 2014, 206, pp. 25 - 52 [articolo]

Bonfietti, A.; Lombardi, M.; Milano, M., Disregarding duration uncertainty in partial order schedules? Yes, we can!, in: Lecture Notes in Computer Science, Springer Verlag, 2014, 8451, pp. 210 - 225 (atti di: nternational Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, Cork, Sept 2014) [Contributo in Atti di convegno]

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