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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
2023-12 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023-12 Towards a unified model for speech and language processing
2023-11 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023-11 Small batch deep reinforcement learning
2023-11 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023-11 Fairness through domain awareness : mitigating popularity bias for music discovery
2023-11 Domain-specific differencing and merging of models
2023-10 Multi-attribute deterministic and stochastic two echelon location routing problems
2023-10 Predicting viral respiratory tract infections using wearable garment biosensors
2023-10 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023-10 On choice models in the context of MDPs
2023-10 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023-09 Contextual cues for deep learning models of code
2023-09 Predicting stock market trends using time-series classification with dynamic neural networks
2023-08 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023-08 Efficient reformulations for deterministic and choice-based network design problems
2023-08 Towards adaptive deep model-based reinforcement learning
2023-08 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023-08 Analysis and evaluation of the pilot attentional model
2023-08 Maximum flow-based formulation for the optimal location of electric vehicle charging stations