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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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2019 Stochastic optimization of staffing for multiskill call centers
2019 Empirical study and multi-task learning exploration for neural sequence labeling models
2019 Prediction of the transaction confirmation time in Ethereum Blockchain
2019 Modelling and Reasoning with Software Product Lines with Design Choices
2019 Improved training of energy-based models
2019 Mise en oeuvre d’une approche sociotechnique de la vie privée pour les systèmes de paiement et de recommandation en ligne
2019 No Press Diplomacy
2019 Étude combinatoire et algorithmique de la médiane de permutations sous la distance de Kendall-Tau
2019 Mobile data and computation offloading in mobile cloud computing
2019 Personality extraction through LinkedIn
2019 Natural image processing and synthesis using deep learning
2019 Recurrent neural models and related problems in natural language processing
2019 Deep neural networks for natural language processing and its acceleration
2019 Analysis of 3D human gait reconstructed with a depth camera and mirrors
2019 Simple optimizing JIT compilation of higher-order dynamic programming languages
2019 Representation learning for dialogue systems
2019 Real-Time Reinforcement Learning
2019 Comparaison de systèmes de traduction automatique pour la post édition des alertes météorologique d'Environnement Canada
2019 Balancing signals for semi-supervised sequence learning
2019 On challenges in training recurrent neural networks
2019 Deep active localization
2019 Analyse visuelle et cérébrale de l’état cognitif d’un apprenant
2019 Towards learning sentence representation with self-supervision
2019 Environnements virtuels émotionnellement intelligents
2019 Sensibilisation à la protection de la vie privée dans un contexte d’utilisation de dispositifs portables intelligents
2019 Route choice and traffic equilibrium modeling in multi-modal and activity-based networks
2019 Representation learning in unsupervised domain translation
2019 Towards Understanding Generalization in Gradient-Based Meta-Learning
2018 Metamodel co-evolution with related model-driven engineering artifacts : a multi-objective search framework
2018 Simulation du transport de neige
2018 Détection et contrôle de l’indice d’intérêt dans support publicitaire
2018 Prédiction et génération de données structurées à l'aide de réseaux de neurones et de décisions discrètes
2018 Apprendre à résoudre des analogies de forme
2018 The limits of Nečiporuk’s method and the power of programs over monoids taken from small varieties of finite monoids
2018 Quality of service aware data dissemination in vehicular Ad Hoc networks
2018 Framework for Real-time collaboration on extensive Data Types using Strong Eventual Consistency
2018 Learning and time : on using memory and curricula for language understanding
2018 Reparametrization in deep learning
2018 On Deep Multiscale Recurrent Neural Networks
2018 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2018 Latent variable language models
2018 Algorithmic contributions to bilevel location problems with queueing and user equilibrium : exact and semi-exact approaches
2018 Détection des utilisations à risque d’API : approche basée sur le système immunitaire
2018 Le produit direct de fonctions et les programmes de branchement avec oracle
2018 Sequence to sequence learning and its speech applications
2018 Sequence-to-sequence learning for machine translation and automatic differentiation for machine learning software tools
2018 Improved training of generative models
2018 Feature extraction on faces : from landmark localization to depth estimation
2018 Predictive models for career progression
2018 Applications of complex numbers to deep neural networks