Articles dans des revues avec comité de lecture (157)
29.
Gaudioso, M., Gorgone, E., Labbé, M., & Rodriguez Chia, A. M. (2017). Lagrangian relaxation for SVM feature selection. Computers & operations research, 87, 137-145. doi:10.1016/j.cor.2017.06.001
30.
Lagos, F., Ordóñez, F., & Labbé, M. (2017). A branch and price algorithm for a Stackelberg Security Game. Computers & industrial engineering, 111, 216-227. doi:10.1016/j.cie.2017.06.034
31.
Labbé, M., Ponce Lopez, D., & Puerto Albandoz, J. (2017). A comparative study of formulations and solution methods for the discrete ordered p-median problem. Computers & operations research, 78, 230-242. doi:10.1016/j.cor.2016.06.004
32.
Castelli, L., Labbé, M., & Violin, A. (2017). Network pricing problem with unit toll. Networks, 69(1), 83-93. doi:10.1002/net.21701
33.
Dal Sasso, V., De Giovanni, L., & Labbé, M. (2016). A column generation approach for pure parsimony haplotyping. OpenAccess Series in Informatics, 50, 5.1-5.11. doi:10.4230/OASIcs.SCOR.2016.5
34.
Labbé, M., & Violin, A. (2016). Bilevel programming and price setting problems. Annals of operation research, 240(1), 141-169. doi:10.1007/s10479-015-2016-0
35.
Labbé, M. (2015). Comments on: Static and dynamic source locations in undirected networks. Top, 23(3), 652-654. doi:10.1007/s11750-015-0398-4
36.
Christensen, T. R. L., & Labbé, M. (2015). A branch-cut-and-price algorithm for the piecewise linear transportation problem. European journal of operational research, 245(3), 645-655. doi:10.1016/j.ejor.2015.03.039
37.
Cardinal, J., Elloumit, S., & Labbé, M. (2015). Local optimization of index assignments for multiple description coding. European Signal Processing Conference, 2015-March, 7072007.
38.
Catanzaro, D., Labbé, M., & Gouveia, L. (2015). Improved integer linear programming formulations for the job Sequencing and tool Switching Problem. European journal of operational research, 244(3), 766–777. doi:10.1016/j.ejor.2015.02.018
39.
Maldonado, S., Pérez, J., Weber, R., & Labbé, M. (2014). Feature selection for Support Vector Machines via Mixed Integer Linear Programming. Information sciences, 279, 163-175. doi:10.1016/j.ins.2014.03.110
40.
Catanzaro, D., Labbé, M., & Halldórsson, B. B. (2013). An integer programming formulation of the parsimonious loss of heterozygosity problem. IEEE/ACM transactions on computational biology and bioinformatics, 10(6), 6357183, 1391-1402. doi:10.1109/TCBB.2012.138