Romain Montagné - researchr alias

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Viewing Publication 1 - 7 from 7

2020

Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and SegmentationBabak Hosseini, Romain Montagné, Barbara Hammer. dase, 5(2):126-139, 2020. [doi]

VRPy: A Python package for solving a range of vehicle routing problems with a column generation approachRomain Montagné, David Torres Sanchez, Halvard Storbugt. jossw, 5(55):2408, 2020. [doi]

2019

A comparison of integer programming models for the partial directed weighted improper coloring problemAlain Hertz, Romain Montagné, François Gagnon. DAM, 261:229-245, 2019. [doi]

Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and SegmentationBabak Hosseini, Romain Montagné, Barbara Hammer. icdm 2019: 1096-1101 [doi]

A shortest path-based algorithm for the inventory routing problem of waste vegetable oil collectionRomain Montagné, Michel Gamache, Michel Gendreau. jors, 70(6):986-997, 2019. [doi]

2018

Online algorithms for the maximum k-colorable subgraph problemAlain Hertz, Romain Montagné, François Gagnon. cor, 91:209-224, 2018. [doi]

2016

Constructive algorithms for the partial directed weighted improper coloring problemAlain Hertz, Romain Montagné, François Gagnon. jgaa, 20(2):159-188, 2016. [doi]

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