Passer au contenu

/ Département d'informatique et de recherche opérationnelle

Je donne

Rechercher

Thèses et mémoires

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

 

 

For a detailed search
Visit Papyrus
Date Sort by date in ascending order Title Sort by title in ascending order
2026 Improving language models for underserved languages and communities
2026 A fully reproducible C toolchain rooted on POSIX shell
2026 Towards efficient, reliable and measurable vision-language systems
2026 Concept-based methods for improving large language model performance in healthcare and scientific applications
2026 Toward socially responsible artificial intelligence approaches for fake news detection
2025 CyberPRIcards : un jeu sérieux pour la sensibilisation à la vie privée et l’intimité numérique
2025 Empowering code review automation : a data-centric, multi-task-driven, and human-aware approach
2025 Towards adaptive personalization in conversational search
2025 A survey of state representation learning for deep reinforcement learning
2025 Metacognitive architecture for perceptual and social systems : a neuro-inspired metacognition approach
2025 Interpreting and generating drawings via learning, geometry processing, and optimization
2025 Vers des jumeaux numériques intelligents en agriculture en environnement contrôlé : contributions conjointes en détection de fruits par vision et en simulation trans-domaines.
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 Learning generative models from a control perspective
2025 Technical methods for governing AI agents
2025 Rapid prototyping for systematic reuse in compartmental models
2025 Designing scalable and efficient neural networks
2025 La reconnaissance faciale par l’IA et par les humains : une étude comparative combinant réseaux de neurones artificiels et l'imagerie cérébrale
2025 Human action recognition based on skeleton graph neural networks using self-distillation
2025 Improving object detection with knowledge graph
2025 A study of the role of entanglement in quantum kernel models
2025 Machine learning accelerated stochastic optimization and applications to railway operations
2025 Data-driven large neighbourhood search for combinatorial optimization problems
2025 Improving lexical diversity of neural machine translation using GAN and knowledge distillation
2025 LLMs for experiment design in scientific domains : are we there yet?
2025 Scam detection with large language models : multimodal risk analysis of URLs and chat messages
2025 Gradients protection in federated learning for Biometric authentication model
2025 Enhancing electrophysiology imaging through artificial intelligence
2025 Revisiting the security of quantum bit commitment schemes
2025 View-dependent deformation fields for 2D editing of 3D models
2025 3D generative models and score-based diffusion in function space
2025 Segmentation automatisée des nerfs cornéens sous-basal utilisant l'apprentissage profond
2025 CLIP-Enhance : improving CLIP zero-shot classification via von Mises-Fisher clustering
2025 Competitive EV charging station location with queues
2025 Leveraging machine reading comprehension to mitigate hallucinations in answer generation by large language models
2025 Towards more robust theoretical frameworks for deep neural network optimization
2025 Le problème de routage des locomotives au CN : une nouvelle approche pour des solutions plus résilientes
2025 Nouvelle contraction algébrique appliquée au problème de tarification de réseau
2025 Learning equivalence hash functions
2025 Problèmes de localisation avec équilibrage