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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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2020-08 Data-efficient reinforcement learning with self-predictive representations
2020-08 Towards privacy preserving cooperative cloud based intrusion detection systems
2020-08 Optimizing ANN Architectures using Mixed-Integer Programming
2020-08 Lifelong learning of concepts in CRAFT
2020-08 On learning and generalization in unstructured taskspaces
2020-08 The multilevel critical node problem : theoretical intractability and a curriculum learning approach
2020-08 Open source quality control tool for translation memory using artificial intelligence
2020-08 Entity-centric representations in deep learning
2020-08 Neural approaches to dialog modeling
2020-09 A game theoretical model for a collaborative e-learning platform on privacy awareness
2020-09 Real-time human action and gesture recognition using skeleton joints information towards medical applications
2020-09 Articulating design-time uncertainty with DRUIDE
2020-09 Estimation neuronale de l'information mutuelle
2020-10 Advances in parameterisation, optimisation and pruning of neural networks
2020-10 Statistical physics of constraint satisfaction problems
2020-10 Theseus : a 3D virtual reality orientation game with real-time guidance system for cognitive training
2020-10 A rolling horizon approach for the locomotive routing problem at the Canadian National Railway Company
2020-10 Advances in deep learning methods for speech recognition and understanding
2020-11 Evolution of domain-specific languages depending on external libraries
2020-11 Towards using intelligent techniques to assist software specialists in their tasks
2020-11 Introduction à la reconstruction 3D par lumière structurée
2020-12 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020-12 Learning discrete word embeddings to achieve better interpretability and processing efficiency
2020-12 Towards deep unsupervised inverse graphics
2020-12 A data-driven discrete elastic rod model for shells and solids
2020-12 Adapting modeling environments to domain specific interactions
2020-12 A deep learning theory for neural networks grounded in physics
2020-12 Recommandation conversationnelle : écoutez avant de parlez
2020-12 Privacy evaluation of fairness-enhancing pre-processing techniques
2020-12 Identifying electrons with deep learning methods
2020-12 Deep reinforcement learning for multi-modal embodied navigation
2020-12 Modélisation des réseaux de régulation de l’expression des gènes par les microARN
2021-02 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2021-03 Extending domain-specific modeling editors with multi-touch interactions
2021-03 A study of virtual reality-mediated affective state and cognitive decline in Alzheimer’s disease
2021-03 Locality and compositionality in representation learning for complex visual tasks
2021-04 Système intelligent pour le suivi et l’optimisation de l’état cognitif
2021-04 Efficient frequency-space methods for light transport caching
2021-04 Estimation de pose 2D par réseau convolutif
2021-04 On quantifying the value of simulation for training and evaluating robotic agents
Number of results : 1178