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Laurent Charlin

Associate Professor,  Department of Decision Sciences


Laurent Charlin

Contact information

HEC Montréal
3000, chemin de la Côte-Sainte-Catherine
Montréal (Québec)
Canada H3T 2A7

Email: laurent.charlin@hec.ca
Phone: 514 340-1482
Secretary: 514 340-6472
Fax: n/a
Office: 4.817

Personal page

Education

  • Ph. D. (informatique), University of Toronto
  • MMath (informatique), University of Waterloo

Expertise

  • Machine learning
  • Artificial intelligence
  • Recommender systems
  • Bayesian statistics
  • Deep learning

Current research

  • Forthcoming

This publication selection covers the last five years.


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Journal articles (1)

DEVAILLY, François-Xavier, LAROCQUE, Denis, CHARLIN, Laurent; « IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control », IEEE Transactions on Intelligent Transportation Systems, 2021 (status : online).



This selection of supervision activities covers the last five years.

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Master's thesis direction – MSc in Management (5)
Monte Carlo Tree Search to Solve Integer Programming Problems , by Vincent Fortin
May 2021

In codirection with : ADULYASAK, Yossiri
Forecasting Retail Sales Using Google Trends and Machine Learning , by Feras Al-Basha
May 2021

Don't forget to Tag me!: The effect of metadata in open-domain story generation , by Lourdes Crivelli
March 2021

Optimal Order Execution with Deep Reinforcement Learning, by Brittany Rockwell
May 2020

La segmentation par séquence: une application sur l'évolution du style de jeu des joueurs dans un jeu vidéo FPS, by Clarisse Bailliart
November 2018

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Supervised project supervision – MSc in Management (10)
Advanced Recommender Systems for E-commerce: Graph Neural Networks at Decathlon , by Jérémi DeBlois-Beaucage
May 2021

The use of machine learning to support the decision-making process in venture capital , by Arthur Gerbé
May 2021

People Counting System for the Static Entrance of PDM , by Qiuhua Liu
March 2021

Implémentation d'un système de recommandation pour un journal numérique , by Yahya Laraki
January 2021

Comment prédire les incidents majeurs sur les applications de l'equity chain pour une meilleure anticipation des risques ? , by Vinh Nguyen
January 2021

Optimisation de la catégorisation des commentaires de sondages de satisfaction , by El Mehdi El Aouni
September 2020

Prototypes dans le cadre du projet Legacy Equipment Digitalization au Conseil national de recherches Canada , by Pier-Luc Dassylva Menier
September 2020

In codirection with : VAN NORDEN, Simon
Visualisation de données, réduction des dimensions et crises financières , by Jessica Renaud
March 2019

Réalisation d'une analyse de regroupements de clients selon l'exposition au risque de leur portefeuille comme nouvel outil de mesure de performance , by Charles Vallières-Gingras
November 2018

Optimisation de l'environnement urbain par l'apprentissage automatisé des parcours , by Amir Haddad
March 2018


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