Magnini, Andrea; Lombardi, Michele; Bujari, Armir; Mattivi, Pietro; Shustikova, Iuliia; Persiano, Simone; Patella, Marco; Bitelli, Gabriele; Bellavista, Paolo; Lo Conti, Francesco; Tirri, Antonio; Bagli, Stefano; Mazzoli, Paolo; Castellarin, Attilio, Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization, «HYDROLOGICAL SCIENCES JOURNAL», 2023, 68, pp. 2388 - 2403 [articolo]Open Access
Silvestri Mattia, Lombardi Michele, Mucchi Emiliano, Piantanida Marco, Cadei Luca, Magnago Giovanna, D'Ottavio Valentina, Tu Nguyen Van, Duma Simona, Taddei Silvia, Tiozzo Annagiulia, Corneo Andrea, Rocchi Laura, Di Gilferraro Pietro Coffari, Knowledge Integration in Neural Networks for E-Maintenance: Application to an Oil & Gas Plant, in: OMC-2023, 2023, All Days, pp. 1 - 13 (atti di: OMC-2023, Ravenna, 24/10/2023) [Contributo in Atti di convegno]
Baldo, Federico; Piovesan, Allison; Rakvin, Marijana; Ramacieri, Giuseppe; Locatelli, Chiara; Lanfranchi, Silvia; Onnivello, Sara; Pulina, Francesca; Caracausi, Maria; Antonaros, Francesca; Lombardi, Michele; Pelleri, Maria Chiara, Machine learning based analysis for intellectual disability in Down syndrome, «HELIYON», 2023, 9, Article number: e19444, pp. 1 - 12 [articolo]Open Access
Silvestri M.; De Filippo A.; Ruggeri F.; Lombardi M., Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, 2022, 13292, pp. 358 - 373 (atti di: 19th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, Los Angeles, 20-23 giugno 2022) [Contributo in Atti di convegno]Open Access
Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano, Informed Deep Learning for Epidemics Forecasting, in: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, IOS Press BV, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2022, 351, pp. 86 - 99 (atti di: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, IJCAI-ECAI 2022, aut, 2022) [Contributo in Atti di convegno]Open Access
Magnini A.; Lombardi M.; Persiano S.; Tirri A.; Lo Conti F.; Castellarin A., Machine-learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains, «NATURAL HAZARDS AND EARTH SYSTEM SCIENCES», 2022, 22, pp. 1469 - 1486 [articolo]Open Access
Morais A.; Barbosa R.; Lourenco N.; Cerveira F.; Lombardi M.; Madeira H., Strategies for Improving the Error Robustness of Convolutional Neural Networks, in: Proceedings of QRS 2022, 2022, 2022-December, pp. 874 - 883 (atti di: QRS 2022, Guangzhou, China, December 5-9, 2022) [Contributo in Atti di convegno]
Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Luca Cadei, Giovanna Magnago, Marco Piantanida, Valentina D'Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Lorenzo Lancia, Laura Rocchi, Pietro Coffari di Gilferraro, Supervised Anomaly Detection in Crude Oil Stabilization, in: 11th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2022, IOS Press BV, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2022, 351, pp. 114 - 127 (atti di: PAIS 2022, Vienna, Austria, 25 July 2022) [Contributo in Atti di convegno]Open Access
Seravalli A.; Busani M.; Venturi S.; Brutti A.; Petrovich C.; Frascella A.; Paolucci F.; Di Felice M.; Lombardi M.; Bellodi E.; Zese R.; Bertasi F.; Balugani E.; Cecaj A.; Gamberini R.; Mamei M.; Picone M., Towards Smart Cities for Tourism: the POLIS-EYE Project, in: 2022 IEEE International Smart Cities Conference (ISC2), New York, IEEE, 2022, pp. 1 - 7 (atti di: ISC 2022, Pafos, Cyprus, September 26-29, 2022) [Contributo in Atti di convegno]Open Access
Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela, An Analysis of Regularized Approaches for Constrained Machine Learning, in: Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020., Cham, Springer, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12641, pp. 112 - 119 (atti di: 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020, Online, 4-5 September 2020) [Contributo in Atti di convegno]Open Access
Maxime Mulamba,
Jayanta Mandi,
Michelangelo Diligenti,
Michele Lombardi,
Victor Bucarey,
Tias Guns, Contrastive Losses and Solution Caching for Predict-and-Optimize, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, ijcai.org, 2021, pp. 2833 - 2840 (atti di: Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August) [Contributo in Atti di convegno]Open Access
Helmberg H.; Lacalandra F.; Schmidt M.; Henriques C.; De Filippo A.; Lombardi M.; Milano M.; Ezran P.; Haddad Y.; Diekerhof M.; Madani M., Finance, Regulations, Politics and Market Design, in: AIRO Springer Series, Berlin, Springer Nature, 2021, pp. 59 - 75 (AIRO SPRINGER SERIES) [capitolo di libro]
Silvestri M.; Lombardi M.; Milano M., Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12735, pp. 266 - 282 (atti di: 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2021, Vienna, Austria, 5 - 8 July 2021) [Contributo in Atti di convegno]Open Access
De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Integrated Offline and Online Decision Making under Uncertainty, «THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH», 2021, 70, pp. 77 - 117 [articolo]Open Access
Fioretto F.; Van Hentenryck P.; Mak T.W.K.; Tran C.; Baldo F.; Lombardi M., Lagrangian Duality for Constrained Deep Learning, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12461, pp. 118 - 135 (atti di: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, Ghent, Belgium, 2020) [Contributo in Atti di convegno]
