Benoît Turcotte

Research center(s)

• CeRVIM
• CERVO
• CRDM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Audrey Durand
• Flavie Lavoie-Cardinal

Reinforcement Learning for adaptive microscopy imaging

Computer Vision Health Machine Learning

Jean-Thomas Sexton

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Jonathan Gaudreault

Pilotage en temps réel d’une ligne de rabotage à l’aide de l’apprentissage par renforcement

Data Science Industry 4.0 Machine Learning

Antoine Séverin-Oillier

Research center(s)

• CeRVIM
• CERVO
• CRDM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Christian Gagné
• Flavie Lavoie-Cardinal

Machine learning assisted detection of time- and spectrally resolved fluorescence signal in super-resolution microscopy

Computer Vision Health Machine Learning

Saeideh Sadeghpour

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Richard Khoury

Détecter les mensonges dans les données soumises par les utilisateurs

Data Science Machine Learning Natural Language Processing

Dominique Piché-Meunier

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Jean-François Lalonde
• Yannick Hold-Geoffroy

Computer Vision Machine Learning

William Leclerc

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Audrey Durand
• Flavie Lavoie-Cardinal

Unsupervised deep learning approaches for bacterial phenotype detection

Data Science Health Life Sciences Machine Learning

Benjamin Leblanc

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Pascal Germain

Interprétabilité des réseaux de neurones à fonction d’activation

Data Science Machine Learning

Alexandre Larouche

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Audrey Durand
• Richard Khoury

Reinforcement Learning for combinatorial optimization applied to polypharmacy characterization

Health Machine Learning

Damien LaRocque

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Philippe Giguère
• François Pomerleau

Ground identification though energy consumption

Computer Vision Data Science Machine Learning Smart Environments

William Guimont-Martin

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Philippe Giguère
• François Pomerleau

Object detection in 3D point clouds using Transformer networks

Computer Vision Machine Learning

Ludovic Girard

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Philippe Giguère
• François Pomerleau

Application of Deep Learning on rare target detection in hyperspectral imagery

Computer Vision Machine Learning

Félix Gélinas-Gascon

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Richard Khoury

Conversations dans les commentaires sur les nouvelles de la COVID-19

Health Machine Learning Natural Language Processing

Antoine Gariépy

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Audrey Durand

Bandits for adaptive and personalized recommendations in mHealth applications

Data Science Health Machine Learning

Léandre Gagnon-Lewis

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Mario Marchand

Data Science Machine Learning

Jean-Michel Fortin

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Philippe Giguère
• François Pomerleau

Forestry forwarder crane automation using RGBD cameras and Deep Learning

Computer Vision Machine Learning Smart Environments

Guillaume Desmarais-De Grandpré

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Audrey Durand
• Richard Khoury

Characterizing bias and generalization in machine learning methods for polypharmacy detection

Data Science Health Machine Learning

Alexandre Bouras

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Richard Khoury

Recommandation d’articles de nouvelles

Data Science Machine Learning Natural Language Processing

William Ricardo Bonilla Villatoro

Research center(s)

• CeRVIM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Denis Laurendeau

Détection des émotions par imagerie et apprentissage machine

Computer Vision Machine Learning

Rupali Bhati

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Audrey Durand

Bandits for personalizing interventions in post-cancer follow ups

Data Science Health Machine Learning

Theophile Bertheloot

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Audrey Durand
• Richard Khoury

Data mining methods for detecting drug combination effects in polypharmacy

Health Machine Learning

Renaud Bernatchez

Research center(s)

• CeRVIM
• CERVO
• CRDM

Department(s)

• Department of Psychiatry and Neurosciences

Program(s)

Supervisor(s)

• Audrey Durand
• Flavie Lavoie-Cardinal

Active Learning approaches for online quantitative analysis of optical microscopy

Data Science Machine Learning

Jean-Michel Bellavance

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Psychiatry and Neurosciences

Program(s)

Supervisor(s)

• Flavie Lavoie-Cardinal
• Chantelle Sephton

Multi-modal imaging of synaptic protein organization to detect early signs of neuro-degeneration

Computer Vision Health Machine Learning

Frédéric Beaupré

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Christian Gagné
• Flavie Lavoie-Cardinal

Development of anomaly detection approaches for the detection of early signs of neurodegeneration

Data Science Health Machine Learning

Mathieu Bazinet

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Pascal Germain

Data Science Machine Learning

William Albert

Research center(s)

• CRDIG
• CRDM

Department(s)

• Department of Geomatics Science

Program(s)

Supervisor(s)

• Sylvie Daniel

Automatic detection and characterization of occlusions in large-scale urban point clouds using deep neural networks

Geospatial Data Machine Learning

Afshin Jamshidi

Research center(s)

• CRDM

Department(s)

• Department of Information and Decision Systems

Program(s)

Supervisor(s)

• Arnaud Droit

Identifications de biomarqueurs lors de l’asterosclerose par des approches d’apprentissage profond (deep learning)

Health Machine Learning

Ihsen Hedhli

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Christian Gagné

Machine Learning

Fatemeh Gholizadeh Karrat

Research center(s)

• CeRVIM
• CRDM

Department(s)

• Department of Computer and Electrical Engineering

Program(s)

Supervisor(s)

• Christian Gagné
• Caroline Sirois

Machine Learning

Mahsa Dadar

Research center(s)

• CERVO

Department(s)

• Department of Radiology

Program(s)

Supervisor(s)

• Simon Duchesne
• Richard Camicioli

Machine learning driven small vessel disease lesion segmentation

Health Machine Learning

Fan Zhou

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Brahim Chaib-draa

Deep Active Learning: Unified and Principled Method for Query and Training

Machine Learning

Luxin Zhang

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Pascal Germain

Transfer Learning for Anomaly Detection

Machine Learning

Theresa Wiesner

Research center(s)

• CERVO
• CRDM

Department(s)

• Department of Psychiatry and Neurosciences

Program(s)

Supervisor(s)

• Flavie Lavoie-Cardinal
• Christian Gagné

Computer Vision Health Machine Learning

Paul Viallard

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Émilie Morvant
• Pascal Germain
• Amaury Habrard

Interpreting Representation Learning Through PAC-Bayes Theory

Machine Learning

Zeineb Trabelsi

Research center(s)

• CRDM

Department(s)

• Department of Organizational Information Systems

Program(s)

Supervisor(s)

• Sehl Mellouli
• Richard Khoury

E-Community Health and Toxicity (Machine Learning, Neural Networks and Artificial Intelligence, Supervised Learning)

Machine Learning Natural Language Processing

Prudencio Tossou

Research center(s)

• CRDM

Department(s)

• Department of Computer Science and Software Engineering

Program(s)

Supervisor(s)

• Mario Marchand
• Jacques Corbeil
• François Laviolette

Machine learning implementation in drug discovery

Health Machine Learning

Changjian Shui

Research center(s)

• CeRVIM
• CRDM

Program(s)

Supervisor(s)

• Christian Gagné

Learning with human-in-the-loop

Machine Learning