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Documents dont l'auteur est "Zarpellon, Giulia"

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Grouper par: Auteurs ou autrices | Date de publication | Sous-type de document | Aucun groupement
Aller à : 2022 | 2021 | 2020 | 2019 | 2018 | 2017
Nombre de documents: 7

2022

Bonami, P., Lodi, A., & Zarpellon, G. (2022). A classifier to decide on the linearization of mixed-integer quadratic problems in CPLEX. Operations Research, 70(6), 3303-3320. Lien externe

2021

Zarpellon, G., Jo, J., Lodi, A., & Bengio, Y. (février 2021). Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies [Communication écrite]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. Publié dans Proceedings of the ... AAAI Conference on Artificial Intelligence, 35(5). Lien externe

2020

Zarpellon, G. (2020). Machine learning algorithms in Mixed-Integer Programming [Thèse de doctorat, Polytechnique Montréal]. Disponible

2019

Fischetti, M., Lodi, A., & Zarpellon, G. (juin 2019). Learning MILP Resolution Outcomes Before Reaching Time-Limit [Communication écrite]. 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2019), Thessaloniki, Greece. Lien externe

2018

Bonami, P., Lodi, A., & Zarpellon, G. (juin 2018). Learning a classification of mixed-integer quadratic programming problems [Communication écrite]. 15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018), Delft, Netherlands. Lien externe

Fischetti, M., Lodi, A., & Zarpellon, G. (2018). Learning milp resolution outcomes before reaching time-limit. (Rapport technique n° DS4DM-2018-009). Lien externe

2017

Lodi, A., & Zarpellon, G. (2017). On learning and branching: A survey. (Rapport technique n° DS4DM-2017-004). Lien externe

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