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Items where Author is "Frejinger, Emma"

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Number of items: 13.

Larsen, E., Frejinger, E., Gendron, B., & Lodi, A. (2023). Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning. Informs Journal on Computing, 21 pages. External link

Larsen, E., Lachapelle, S., Bengio, Y., Frejinger, E., Lacoste-Julien, S., & Lodi, A. (2021). Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information. INFORMS Journal on Computing, 34(1), 227-242. External link

Bengio, Y., Frejinger, E., Lodi, A., Patel, R., & Sankaranarayanan, S. (2020, September). A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs [Paper]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research. (CPAIOR 2020), Vienna, Austria. External link

Morin, L. R., Bastin, F., Frejinger, E., & Trépanier, M. (2019). Modelling Truck Route Choices in an Urban Area Using a Recursive Logit Model and GPS Data. In Awasthi, A. (ed.), Sustainable City Logistics Planning: Methods and Applications . External link

Larsen, E., Lachapelle, S., Bengio, Y., Frejinger, E., Lacoste-Julien, S., & Lodi, A. (2019). Predicting tactical solutions to operational planning problems under imperfect information. (Technical Report n° DS4DM-2019-003). External link

Mai, T., Bastin, F., & Frejinger, E. (2018). A decomposition method for estimating recursive logit based route choice models. EURO Journal on Transportation and Logistics, 7(3), 253-275. External link

Zimmermann, M., Mai, T., & Frejinger, E. (2017). Bike route choice modeling using GPS data without choice sets of paths. Transportation Research Part C: Emerging Technologies, 75, 183-196. External link

Mai, T., Frejinger, E., Fosgerau, M., & Bastin, F. (2017). A dynamic programming approach for quickly estimating large network-based MEV models. Transportation Research Part B: Methodological, 98, 179-197. External link

Morin, L. R., Bastian, F., Frejinger, E., & Trépanier, M. (2017, January). A GPS-based recursive logit model for truck route choice in urban area [Paper]. TRB 96th Annual Meeting Compendium of Papers, Washington DC, United States (11 pages). External link

Mai, T., Bastin, F., & Frejinger, E. (2017). On the similarities between random regret minimization and mother logit: The case of recursive route choice models. Journal of Choice Modelling, 23, 21-33. External link

Zimmermann, M., Mai, T., & Frejinger, E. (2016). Bike route choice modeling using GPS data without choice sets of paths. (Technical Report n° CIRRELT-2016-49). External link

Frejinger, E., Trépanier, M., Amiel, M., Charbonneau, M., Bastin, F., Larsen, E., & Ryo Morin, L. (2015, March). Analyse des accès aux terminus intermodaux de l'île de Montréal à partir de traces GPS [Paper]. 50e Congrès de l'Association québécoise des transports, Montréal, Québec. External link

Frejinger, E., Morin, L. R., Bastin, F., Larsen, E., Trépanier, M., & Morency, C. (2014). Analyse de données Otto View : Rapport d'étude. (Technical Report). Unavailable

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