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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
2012-08 Impacts and Detection of Design Smells
2004 MyHouse : un système de négociation multi-critères dans le commerce électronique, appliqué au domaine du courtage immobilier
2020-03 Personal information prediction from written texts
2023-10 Training large multimodal language models with ethical values
2017-12 Caractérisation et étude de l’impact des permissions dans les applications mobiles
2006 An intelligent help system to support teachers to author learning sessions in decision-making in network design
2023-08 Towards adaptive deep model-based reinforcement learning
2022-07 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2021-07 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021-05 IIRC : Incremental Implicitly-Refined Classification
2024-01 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2002 Resource Warehouses : a distributed information management infrastructure
2002 Network information discovery and structural optimization in the WOS's context by using distributed algorithms
1996 Spécification formelle de systèmes d'information interactifs par la technique des scénarios
2024-07 Domain adaptation in reinforcement learning via causal representation learning
2023-04 Model-based hyperparameter optimization
2021-08 Learning neural ordinary differential equations for optimal control
2022-12 Accelerated algorithms for temporal difference learning methods
2021-08 Steepest descent as Linear Quadratic Regulation
2024-01 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2022-08 Sample efficient reinforcement learning for biological sequence design
2021-08 Parsimonious reasoning in reinforcement learning for better credit assignment
2022-12 Stabilizing Q-Learning for continuous control
2024-08 Parameter, experience, and compute efficient deep reinforcement learning
2017-09 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
2012-12 Revisiting optimization algorithms for maximum likelihood estimation
2012-09 A dynamic sequential route choice model for micro-simulation
2022-01 Measuring RocksDB performance and adaptive sampling for model estimation
2018-03 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2020-05 Leveraging deep reinforcement learning in the smart grid environment