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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 Mobility anomaly detection with intelligent video surveillance
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Dynamic capacities and priorities in stable matching
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Self-supervision for reinforcement learning
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Beyond the status quo in deep reinforcement learning
2024 Evaluating approaches to solving proportional sentence analogies
2024 Quotient Types in Typer
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Intrinsic exploration for reinforcement learning beyond rewards
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
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