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Thèses et mémoires

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

 

 

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2021 Système intelligent pour le suivi et l’optimisation de l’état cognitif
2021 Estimation de pose 2D par réseau convolutif
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 Mechanical characterization of rigid discrete interlocking materials
2021 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021 Personalized question-based cybersecurity recommendation systems
2021 Steepest descent as Linear Quadratic Regulation
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2021 Better representation learning for TPMS
2021 Reusable semantics for implementation of Python optimizing compilers
2021 Creation of a vocal emotional profile (VEP) and measurement tools
2021 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2021 Reduced collision fingerprints and pairwise molecular comparisons for explainable property prediction using Deep Learning
2021 Étude de modèles neuronaux de questions-réponses
2021 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021 Tailored deep learning techniques for information retrieval
2021 Some phenomenological investigations in deep learning
2021 Dialogue systems based on pre-trained language models
2021 Locality and compositionality in representation learning for complex visual tasks
2021 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021 On quantifying the value of simulation for training and evaluating robotic agents
2021 Computation over partial information : a principled approach to accurate partial evaluation
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Learning neural ordinary differential equations for optimal control
2021 Acceleration and new analysis of convex optimization algorithms
2021 Tools for fluid simulation control in computer graphics
2021 On representation learning for generative models of text
2021 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2021 Content-based automatic fact checking
2021 Extraction de comportements reproductibles en avatar virtuel
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2021 Job dissatisfaction detection through progress note
2021 Self-disclosure model for classifying & predicting text-based online disclosure
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Abstraction de comportement de haut niveau à l’aide de la visualisation interactive
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Utilisation du plongement du domaine pour l’adaptation non supervisée en traduction automatique
Number of results : 1658