Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela, Combining learning and optimization for transprecision computing, in: Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020, pp. 10 - 18 (atti di: 17th ACM International Conference on Computing Frontiers, Catania, Italy, 1-10 June 2020) [Contribution to conference proceedings]Open Access
De Filippo A.; Lombardi M.; Milano M., Hybrid offline/online optimization under uncertainty, in: Frontiers in Artificial Intelligence and Applications, IOS Press BV, 2020, 325, pp. 2899 - 2900 (atti di: 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, esp, 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: CEUR Workshop Proceedings, CEUR-WS, 2020, 2659, pp. 52 - 58 (atti di: 1st International Workshop on New Foundations for Human-Centered AI, NeHuAI 2020, Santiago de Compostella, Spain, September 4, 2020) [Contribution to conference proceedings]Open Access
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano, Injective Domain Knowledge in Neural Networks for Transprecision Computing, in: Machine Learning, Optimization, and Data Science. LOD 2020, Springer, 2020, 12565, pp. 587 - 600 (atti di: The Sixth International Conference on Machine Learning, Optimization, and Data Science, Siena, July 19-23, 2020) [Contribution to conference proceedings]Open Access
Detassis F.; Lombardi M.; Milano M., Teaching the old dog new tricks: Supervised learning with constraints, in: CEUR Workshop Proceedings, Aachen, CEUR-WS, 2020, 2659, pp. 44 - 51 (atti di: 1st International Workshop on New Foundations for Human-Centered AI, NeHuAI 2020, esp, 2020) [Contribution to conference proceedings]Open Access
De Filippo A.; Lombardi M.; Milano M., The blind men and the elephant: Integrated offline/online optimization under uncertainty, in: PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, International Joint Conferences on Artificial Intelligence, «IJCAI», 2020, 2021-, pp. 4840 - 4846 (atti di: 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, jpn, 2021) [Contribution to conference proceedings]Open Access
Chisca D.S.; Lombardi M.; Milano M.; O'Sullivan B., A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2019, 11494, pp. 146 - 162 (atti di: 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2019, grc, 2019) [Contribution to conference proceedings]
Borghesi A.; Bartolini A.; Lombardi M.; Milano M.; Benini L., A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems, «ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE», 2019, 85, pp. 634 - 644 [Scientific article]Open Access
Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, Anomaly Detection Using Autoencoders in High Performance Computing Systems, in: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019, 33, pp. 9428 - 9433 (atti di: Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, US, 28 Jan - 02 Feb 2019) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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, 2019, 11802, pp. 108 - 125 (atti di: 25th International Conference on Principles and Practice of Constraint Programming, CP 2019, usa, 2019) [Contribution to conference proceedings]
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, «IJCAI», 2018, 2018-, pp. 5472 - 5478 (atti di: 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, swe, 2018) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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 [Scientific article]
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, «IJCAI», 2018, 2018-, pp. 1270 - 1276 (atti di: 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, swe, 2018) [Contribution to conference proceedings]
