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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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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