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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 Mobility anomaly detection with intelligent video surveillance
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Dynamic capacities and priorities in stable matching
2024 Beyond the status quo in deep reinforcement learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Generative models, theory and applications
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Building intuitive reinforcement learning algorithms