Cost-based domain filtering F Focacci, A Lodi, M Milano Principles and Practice of Constraint Programming–CP’99: 5th International …, 1999 | 216 | 1999 |
Anomaly detection using autoencoders in high performance computing systems A Borghesi, A Bartolini, M Lombardi, M Milano, L Benini Proceedings of the AAAI Conference on artificial intelligence 33 (01), 9428-9433, 2019 | 207 | 2019 |
Global cut framework for removing symmetries F Focacci, M Milano Principles and Practice of Constraint Programming—CP 2001: 7th …, 2001 | 193 | 2001 |
A hybrid exact algorithm for the TSPTW F Focacci, A Lodi, M Milano INFORMS journal on Computing 14 (4), 403-417, 2002 | 182 | 2002 |
Magma: A multiagent architecture for metaheuristics M Milano, A Roli IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 142 | 2004 |
Communication-aware allocation and scheduling framework for stream-oriented multi-processor systems-on-chip M Ruggiero, A Guerri, D Bertozzi, F Poletti, M Milano Proceedings of the Design Automation & Test in Europe Conference 1, 6 pp., 2006 | 137 | 2006 |
Constraint and integer programming: toward a unified methodology M Milano Springer Science & Business Media, 2003 | 120 | 2003 |
Empirical decision model learning M Lombardi, M Milano, A Bartolini Artificial Intelligence 244, 343-367, 2017 | 97 | 2017 |
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey M Lombardi, M Milano Constraints 17, 51-85, 2012 | 91 | 2012 |
An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms A Bonfietti, L Benini, M Lombardi, M Milano 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010 …, 2010 | 91 | 2010 |
Learning techniques for automatic algorithm portfolio selection A Guerri, M Milano ECAI 16, 475, 2004 | 86 | 2004 |
Allocation and scheduling for MPSoCs via decomposition and no-good generation L Benini, D Bertozzi, A Guerri, M Milano Principles and Practice of Constraint Programming-CP 2005: 11th …, 2005 | 83 | 2005 |
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems A Borghesi, A Bartolini, M Lombardi, M Milano, L Benini Engineering Applications of Artificial Intelligence 85, 634-644, 2019 | 80 | 2019 |
Constraint propagation and value acquisition: why we should do it interactively E Lamma, P Mello, M Milano, R Cucchiara, M Gavanelli, M Piccardi IJCAI 99, 467-473, 1999 | 78 | 1999 |
Integrating constraint logic programming and operations research techniques for the crew rostering problem A Caprara, F Focacci, E Lamma, P Mello, M Milano, P Toth, D Vigo Software: Practice and Experience 28 (1), 49-76, 1998 | 78 | 1998 |
Solving tsp with time windows with constraints D De Schreye MIT Press, 1999 | 68 | 1999 |
Optimization-oriented global constraints F Focacci, A Lodi, M Milano Constraints 7, 351-365, 2002 | 59 | 2002 |
Cutting planes in constraint programming: An hybrid approach F Focacci, A Lodi, M Milano Principles and Practice of Constraint Programming–CP 2000: 6th International …, 2000 | 54 | 2000 |
Integrating operations research in constraint programming M Milano, M Wallace Annals of Operations Research 175, 37-76, 2010 | 52 | 2010 |
Boosting combinatorial problem modeling with machine learning M Lombardi, M Milano arXiv preprint arXiv:1807.05517, 2018 | 51 | 2018 |