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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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Date Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2021 Estimation de pose 2D par réseau convolutif
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 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021 IIRC : Incremental Implicitly-Refined Classification
2021 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2021 Tools for fluid simulation control in computer graphics
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Personalized question-based cybersecurity recommendation systems
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 On quantifying the value of simulation for training and evaluating robotic agents
2021 A framework for domain-specific modeling on graph databases
2021 Creation of a vocal emotional profile (VEP) and measurement tools
2021 Étude de modèles neuronaux de questions-réponses
2021 Towards fairness in Kidney Exchange Programs
2021 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021 Contributions à la sonification d’image et à la classification de sons
2021 Tailored deep learning techniques for information retrieval
2021 Forecasting for operational planning of M1M systems
2021 Reusable semantics for implementation of Python optimizing compilers
2020 Identifying electrons with deep learning methods
2020 Introduction à la reconstruction 3D par lumière structurée
2020 European day-ahead electricity price forecasting
2020 Lifelong learning of concepts in CRAFT
2020 Edit distance metrics for measuring dissimilarity between labeled gene trees
2020 Adapting modeling environments to domain specific interactions
2020 Leveraging distant supervision for improved named entity recognition
2020 Towards using fluctuations in internal quality metrics to find design intents
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020 Programming tools for intelligent systems
2020 Towards deep unsupervised inverse graphics
2020 Learning discrete word embeddings to achieve better interpretability and processing efficiency
2020 Assessing the robustness of genetic codes and genomes
2020 Advances in parameterisation, optimisation and pruning of neural networks
2020 Entity-centric representations in deep learning
2020 A deep learning theory for neural networks grounded in physics
2020 A data-driven discrete elastic rod model for shells and solids
2020 Leveraging deep reinforcement learning in the smart grid environment
2020 A game theoretical model for a collaborative e-learning platform on privacy awareness
2020 Towards using intelligent techniques to assist software specialists in their tasks