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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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2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Towards adaptive deep model-based reinforcement learning
2023 Training large multimodal language models with ethical values
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Adding hygiene to gambit scheme
2023 Analysis of the human corneal shape with machine learning
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2022 A personality aware recommendation system
2022 Understanding, improving, and generalizing generative models
2022 Sample efficient reinforcement learning for biological sequence design
2022 Adversarial games in machine learning : challenges and applications
2022 Parametric Scattering Networks
2022 DS-Fake : a data stream mining approach for fake news detection
2022 Game theoretical characterization of the multi-agent network expansion game
2022 Re-weighted softmax cross-entropy to control forgetting in federated learning
2022 On discovering and learning structure under limited supervision
2022 Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
2022 Extraction of UML class diagrams from natural language specifications
2022 Syntactic inductive biases for deep learning methods
2022 Generating graphical and projectional editors
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 Local differentially private mechanisms for text privacy protection
2022 Incorporating health factors into food recommendation : experiments on real-world data from a weight-loss app
2022 Accounting for variance and hyperparameter optimization in machine learning benchmarks
2022 Une étude des graphes jumeaux via l'auto-abritement
2022 Differentiable world programs
Number of results : 1513