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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
2024 Constrained optimization for machine learning : algorithms and applications
2024 Modelling and evolving design-time uncertainty
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Enhancing agent learning through world dynamics modeling
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Dynamic capacities and priorities in stable matching
2024 Beyond the status quo in deep reinforcement learning
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Génération de données synthétiques pour l'adaptation hors-domaine non-supervisée en réponse aux questions : méthodes basées sur des règles contre réseaux de neurones
2024 Towards maintainable machine learning development through continual and modular learning
2024 Self-supervision for reinforcement learning
2024 An exploration of approximation chains
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Generative models : from data generation to representation learning
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 Vers la mitigation des biais en traitement neuronal des langues
2023 Context-aware ranking : from search to dialogue
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Improving predictive behavior under distributional shift
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Fear prediction for training robust RL agents
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Adding hygiene to gambit scheme
2023 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 Fairness through domain awareness : mitigating popularity bias for music discovery