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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 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Traffic prediction and bilevel network design
2020 Modélisation des réseaux de régulation de l’expression des gènes par les microARN
2020 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2020 Leveraging distant supervision for improved named entity recognition
2020 Entity-centric representations in deep learning
2020 Towards using fluctuations in internal quality metrics to find design intents
2020 Neural approaches to dialog modeling
2020 Study and experimentation of cognitive decline measurements in a virtual reality environment
2020 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2020 Learning discrete word embeddings to achieve better interpretability and processing efficiency
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 Towards using intelligent techniques to assist software specialists in their tasks
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020 Advances in deep learning methods for speech recognition and understanding
2020 Optimizing ANN Architectures using Mixed-Integer Programming
2020 Evolution of domain-specific languages depending on external libraries
2020 An intelligent real-time help system for clinical reasoning in virtual reality environment based on emotional analysis
2020 Apprentissage de circuits quantiques par descente de gradient classique
2020 Adapting modeling environments to domain specific interactions
2020 European day-ahead electricity price forecasting
2020 Estimation neuronale de l'information mutuelle
2020 The art of post-truth in quantum cryptography
2020 Programming tools for intelligent systems
2020 Towards privacy preserving cooperative cloud based intrusion detection systems
2020 Data-efficient reinforcement learning with self-predictive representations
2020 Advances in parameterisation, optimisation and pruning of neural networks
2020 Towards deep unsupervised inverse graphics
2020 A deep learning theory for neural networks grounded in physics
2020 Personal information prediction from written texts
2020 Méta-enseignement : génération active d’exemples par apprentissage par renforcement
2020 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2020 Real-time human action and gesture recognition using skeleton joints information towards medical applications
2020 A game theoretical model for a collaborative e-learning platform on privacy awareness
2020 On learning and generalization in unstructured taskspaces
2020 Diffusion de modules compilés pour le langage distribué Termite Scheme
2020 Leveraging deep reinforcement learning in the smart grid environment
2020 Towards better understanding and improving optimization in recurrent neural networks
2020 Lifelong learning of concepts in CRAFT
2019 Representation learning in unsupervised domain translation