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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
2020 Advances in parameterisation, optimisation and pruning of neural networks
2020 The multilevel critical node problem : theoretical intractability and a curriculum learning approach
2020 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020 Recommandation conversationnelle : écoutez avant de parlez
2020 Towards privacy preserving cooperative cloud based intrusion detection systems
2020 Identifying electrons with deep learning methods
2020 Lifelong learning of concepts in CRAFT
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 Theseus : a 3D virtual reality orientation game with real-time guidance system for cognitive training
2020 Personal information prediction from written texts
2020 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2020 A rolling horizon approach for the locomotive routing problem at the Canadian National Railway Company
2020 Générateurs de nombres aléatoires modulo un grand entier, dont l’uniformité est assurée
2020 Real-time human action and gesture recognition using skeleton joints information towards medical applications
2020 Statistical physics of constraint satisfaction problems
2020 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Towards using intelligent techniques to assist software specialists in their tasks
2020 Leveraging deep reinforcement learning in the smart grid environment
2020 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2020 Un système de question-réponse simple appliqué à SQuAD
2020 Leveraging distant supervision for improved named entity recognition
2020 A deep learning theory for neural networks grounded in physics
2020 Adapting modeling environments to domain specific interactions
2020 The art of post-truth in quantum cryptography
2020 A game theoretical model for a collaborative e-learning platform on privacy awareness
2020 Learning discrete word embeddings to achieve better interpretability and processing efficiency
2020 Estimation neuronale de l'information mutuelle
2020 Advances in deep learning methods for speech recognition and understanding
2020 Data-efficient reinforcement learning with self-predictive representations
2020 Look-ahead meta-learning for continual learning