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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 décroissant Titre Trier par titre en ordre décroissant
2023 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023 Deep learning algorithms for database-driven peptide search
2023 Fear prediction for training robust RL agents
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Sequential decision modeling in uncertain conditions
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 On impact of mixing times in continual reinforcement learning
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Probability flows in deep learning
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Deep networks training and generalization: insights from linearization
2023 Improving predictive behavior under distributional shift
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Co-simulation for controlled environment agriculture
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Emergence of language-like latents in deep neural networks
2023 Methods for solving combinatorial pricing problems
2023 Sketch-based interactive shape deformation using shading isophotes
2023 Data-driven optimization of bus schedules under uncertainties
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Domain-specific differencing and merging of models
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Towards maintainable machine learning development through continual and modular learning
2024 Beyond the status quo in deep reinforcement learning
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations