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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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2025 Resource allocation under stochastic demand : applications in ridesharing and home healthcare systems
2025 Towards adaptive personalization in conversational search
2025 Robust, efficient, and knowledge-augmented text generation with pre-trained language models
2025 La reconnaissance faciale par l’IA et par les humains : une étude comparative combinant réseaux de neurones artificiels et l'imagerie cérébrale
2025 Leveraging machine reading comprehension to mitigate hallucinations in answer generation by large language models
2025 Robustesse des réseaux neuronaux sur graphes
2025 Uncertainty quantification metrics for scientific application
2025 Matrix theory and hardware implementation of linear recurrences
2025 Towards more robust theoretical frameworks for deep neural network optimization
2025 A survey of state representation learning for deep reinforcement learning
2025 Strategic capacity planning and pricing : a choice-based approach
2025 A study of the role of entanglement in quantum kernel models
2025 Pour une IA plus responsable, détection de biais dans les entrevues de recrutement
2025 Investigating the impact of training data coverage on large language model hallucinations
2025 Enhancing electrophysiology imaging through artificial intelligence
2025 Competitive EV charging station location with queues
2025 Learning generative models from a control perspective
2025 Segmentation automatisée des nerfs cornéens sous-basal utilisant l'apprentissage profond
2025 Towards optimal knowledge transfer for efficient language models
2025 Human action recognition based on skeleton graph neural networks using self-distillation
2025 Revisiting the security of quantum bit commitment schemes
2025 Machine learning accelerated stochastic optimization and applications to railway operations
2025 Machine learning through the sciences of the artificial
2025 Neural architectures for compositional generalisation
2025 Nouvelle contraction algébrique appliquée au problème de tarification de réseau
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 Data-driven large neighbourhood search for combinatorial optimization problems
2025 Improving lexical diversity of neural machine translation using GAN and knowledge distillation
2025 View-dependent deformation fields for 2D editing of 3D models
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain