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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 Self-disclosure model for classifying & predicting text-based online disclosure
2021 Acceleration and new analysis of convex optimization algorithms
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Computation over partial information : a principled approach to accurate partial evaluation
2021 On representation learning for generative models of text
2021 Extending domain-specific modeling editors with multi-touch interactions
2021 Gentleman : a lightweight web-based projectional editor
2021 Alzheimer prediction from connected speech extracts : assessment of generalisation to new data
2021 Renforcement de la sécurité à travers les réseaux programmables
2021 Quasi second-order methods for PDE-constrained forward and inverse problems
2021 Abstraction de comportement de haut niveau à l’aide de la visualisation interactive
2021 Learning neural ordinary differential equations for optimal control
2021 Assessing neural network dynamics under normal and altered states of consciousness with MEG : methodological challenges and proposed solutions for atypical power spectra
2021 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021 Large state spaces and self-supervision in reinforcement learning
2021 Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling
2021 Une nouvelle approche pour l’identification des états dynamiques de la parcellisation fonctionnelle cérébrale individuelle
2021 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
2021 Dialogue systems based on pre-trained language models
2021 Locality and compositionality in representation learning for complex visual tasks
2021 On quantifying the value of simulation for training and evaluating robotic agents
2021 Continuous coordination as a realistic scenario for lifelong learning
2021 Creation of a vocal emotional profile (VEP) and measurement tools
2021 Utilisation du plongement du domaine pour l’adaptation non supervisée en traduction automatique
2021 Étude de modèles neuronaux de questions-réponses
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2021 Variational aleatoric uncertainty calibration in neural regression
2021 Better representation learning for TPMS
2021 Forecasting for operational planning of M1M systems
2021 Some phenomenological investigations in deep learning
2021 Pattern-based refactoring in model-driven engineering
2021 Towards fairness in Kidney Exchange Programs
2021 Content-based automatic fact checking
2021 Tailored deep learning techniques for information retrieval
2021 Image forgery detection using textural features and deep learning
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2021 A framework for domain-specific modeling on graph databases
2021 Steepest descent as Linear Quadratic Regulation
2021 Méthodologies pour la détection de diachronies sémantiques et leurs impacts
2021 Estimation de pose 2D par réseau convolutif
2020 Traffic prediction and bilevel network design
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 Advances in deep learning methods for speech recognition and understanding
2020 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2020 European day-ahead electricity price forecasting
2020 Towards using intelligent techniques to assist software specialists in their tasks
2020 Neural approaches to dialog modeling
2020 Multi-player games in the era of machine learning
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks