Lombardi, Michele; Milano, Michela; Bartolini, Andrea, Empirical decision model learning, «ARTIFICIAL INTELLIGENCE», 2017, 244, pp. 343 - 367 [Scientific article]Open Access
Salvagnin, Domenico; Lombardi, Michele, Introduction to the CPAIOR 2017 fast track issue, «CONSTRAINTS», 2017, 22, pp. 491 - 492 [Comment or similar]
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) [Contribution to conference proceedings]
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 [Scientific article]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 [Scientific article]Open Access
Lombardi, Michele; Gualandi, Stefano, A lagrangian propagator for artificial neural networks in constraint programming, «CONSTRAINTS», 2016, 21, pp. 435 - 462 [Scientific article]
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, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2016, 285, pp. 1598 - 1599 (atti di: 22nd European Conference on Artificial Intelligence, ECAI 2016, nld, 2016) [Contribution to conference proceedings]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2016, 10037, pp. 493 - 507 (atti di: 15th International Conference on Italian Association for Artificial Intelligence, AIIA 2016, ita, 2016) [Contribution to conference proceedings]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 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) [Contribution to conference proceedings]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2016, 9697, pp. 181 - 199 (atti di: 31st International Conference on High Performance Computing, ISC High Performance 2016, deu, 2016) [Contribution to conference proceedings]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2016, 9892, pp. 113 - 129 (atti di: 22nd International Conference on Principles and Practice of Constraint Programming, CP 2016, fra, 2016) [Contribution to conference proceedings]
Bridi, Thomas; Lombardi, Michele; Bartolini, Andrea; Benini, Luca; Milano, Michela, A CP scheduler for high-performance computers, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2015, 1485, pp. 37 - 42 (atti di: 2015 Italian Association for Artificial Intelligence Doctoral Consortium, AI*IA DC 2015, ita, 2015) [Contribution to conference proceedings]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2015, 9255, pp. 279 - 294 (atti di: 21st International Conference on the Principles and Practice of Constraint Programming, CP 2015, irl, 2015) [Contribution to conference proceedings]
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, «LECTURE NOTES IN COMPUTER SCIENCE», 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) [Contribution to conference proceedings]
Borghesi, Andrea; Conficoni, Christian; Lombardi, Michele; Bartolini, Andrea, MS3: A Mediterranean-stile job scheduler for supercomputers - Do less when it's too hot!, in: Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015, Institute of Electrical and Electronics Engineers Inc., 2015, pp. 88 - 95 (atti di: 13th International Conference on High Performance Computing and Simulation, HPCS 2015, nld, 2015) [Contribution to conference proceedings]
