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Krishnakumari, P. K., Bakker, H., Lahrichi, N., Côté, F. L., Gromicho, J., Govindakarnavar, A., Jha, P., Shrestha, S., Mulmi, R., Bhusal, N., Stapith, D., Jha, R., Shrestha, L., Samuel, R., Naidoo, D., & Del Rio Vilas, V. (2024). Assessment of geographical accessibility to COVID-19 testing facilities in Nepal (2021). The Lancet Regional Health - Southeast Asia, 27, 100436 (17 pages). Lien externe
Laferrière-Langlois, P., Imrie, F., Geraldo, M.-A., Wingert, T., Lahrichi, N., van der Schaar, M., & Cannesson, M. (2024). Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach. Anesthesia & Analgesia, 139(1), 174-185. Lien externe
Nguyen, N.-D., Gendron, B., & Lahrichi, N. (2024). A parking incentive allocation problem for ridesharing systems. Transportation Research Part C: Emerging Technologies, 166, 104782 (23 pages). Lien externe
Niroumandrad, N., Lahrichi, N., & Lodi, A. (2024). Learning tabu search algorithms: a scheduling application. Computers & Operations Research, 170, 106751 (16 pages). Lien externe
Thompson, J. O., Lahrichi, N., Meyer, P., Mohammadi, M., & Thevenin, S. (juin 2024). A Large Neighborhood Search Metaheuristic for the Stochastic Mixed Model Assembly Line Balancing Problem with Walking Workers [Communication écrite]. 15th International Conference on Metaheuristics (MIC 2024), Lorient, France. Lien externe
