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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 The multilevel critical node problem : theoretical intractability and a curriculum learning approach
2020-08 Lifelong learning of concepts in CRAFT
2020-08 Edit distance metrics for measuring dissimilarity between labeled gene trees
2020-08 On improving variational inference with low-variance multi-sample estimators
2020-08 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders
2020-08 Optimizing ANN Architectures using Mixed-Integer Programming
2020-07 Multi-player games in the era of machine learning
2020-07 Towards better understanding and improving optimization in recurrent neural networks
2020-07 Vérification des patrons temporels d’utilisation d’API sans exécution du code : une approche et un outil
2020-07 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020-07 Look-ahead meta-learning for continual learning
2020-07 Apprentissage de circuits quantiques par descente de gradient classique
2020-07 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020-06 Assessing the robustness of genetic codes and genomes
2020-06 An intelligent real-time help system for clinical reasoning in virtual reality environment based on emotional analysis
2020-05 Study and experimentation of cognitive decline measurements in a virtual reality environment
2020-05 Prediction of Alzheimer's disease and semantic dementia from scene description: toward better language and topic generalization
2020-05 Tactical block planning for intermodal rail transportation
2020-05 Méta-enseignement : génération active d’exemples par apprentissage par renforcement
2020-05 VGCN-BERT : augmenting BERT with graph embedding for text classification : application to offensive language detection
2020-05 European day-ahead electricity price forecasting
2020-05 Leveraging deep reinforcement learning in the smart grid environment
2020-04 The load planning problem for double-stack intermodal trains
2020-04 Programming tools for intelligent systems
2020-03 Personal information prediction from written texts
2020-03 Diffusion de modules compilés pour le langage distribué Termite Scheme
2020-03 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020-03 Un système de question-réponse simple appliqué à SQuAD
2020-03 Leveraging distant supervision for improved named entity recognition
2020-01 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude