Passer au contenu

/ Département d'informatique et de recherche opérationnelle

Je donne

Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

Pour une recherche détaillée
Visiter Papyrus
Date Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2021 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021 Estimation de pose 2D par réseau convolutif
2021 Continuous coordination as a realistic scenario for lifelong learning
2021 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Efficient frequency-space methods for light transport caching
2021 Better representation learning for TPMS
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 On representation learning for generative models of text
2021 IIRC : Incremental Implicitly-Refined Classification
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2021 Tailored deep learning techniques for information retrieval
2021 Variational aleatoric uncertainty calibration in neural regression
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2021 Personalized question-based cybersecurity recommendation systems
2021 Méthodes de décomposition basées sur la relaxation lagrangienne : cas du problème de transport avec coûts fixes
2021 A framework for domain-specific modeling on graph databases
2021 Dialogue systems based on pre-trained language models
2021 Locality and compositionality in representation learning for complex visual tasks
2021 Forecasting for operational planning of M1M systems
2021 Large state spaces and self-supervision in reinforcement learning
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021 Towards fairness in Kidney Exchange Programs
2021 Content-based automatic fact checking
2021 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2021 Lifelong topological visual navigation
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Some phenomenological investigations in deep learning
2021 Self-disclosure model for classifying & predicting text-based online disclosure
2021 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021 Image forgery detection using textural features and deep learning
2021 Extraction de comportements reproductibles en avatar virtuel
2021 On quantifying the value of simulation for training and evaluating robotic agents
2020 Data-efficient reinforcement learning with self-predictive representations
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020 A game theoretical model for a collaborative e-learning platform on privacy awareness