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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
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Fear prediction for training robust RL agents
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 La reconnaissance automatique des brins complémentaires : leçons concernant les habiletés des algorithmes d'apprentissage automatique en repliement des acides ribonucléiques
2023 Co-simulation for controlled environment agriculture
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Sequential decision modeling in uncertain conditions
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Small batch deep reinforcement learning
2023 Deep networks training and generalization: insights from linearization
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Towards adaptive deep model-based reinforcement learning
2023 Training large multimodal language models with ethical values
2023 Analysis of the human corneal shape with machine learning
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Analysis and evaluation of the pilot attentional model
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Computational modeling and design of nonlinear mechanical systems and materials
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Building sample-efficient reinforcement learning
2023 Calibrated uncertainty estimation for SLAM
2023 Generative models : from data generation to representation learning
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Improving predictive behavior under distributional shift
2023 Adding hygiene to gambit scheme
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023 Estimation de cartes d'énergie du bruit apériodique de la marche humaine avec une caméra de profondeur pour la détection de pathologies et modèles légers de détection d'objets saillants basés sur l'opposition de couleurs
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations