Passer au contenu

/ Département d'informatique et de recherche opérationnelle

Je donne

Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

Pour une recherche détaillée
Visiter Papyrus
Date Trier par date en ordre décroissant Titre Trier par titre en ordre décroissant
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Rule-based data augmentation for document-level medical concept extraction
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Beyond the status quo in deep reinforcement learning
2024 Dynamic capacities and priorities in stable matching
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Enhancing agent learning through world dynamics modeling
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Modelling and evolving design-time uncertainty
2024 Constrained optimization for machine learning : algorithms and applications
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Learning optimizers for communication-efficient distributed learning
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Quotient Types in Typer
2024 Dichotomy(?) of fairness and efficiency
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Generative models, theory and applications
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Self-play for human-agent communication
2024 Towards efficient and effective preference alignment for large language models
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework