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Machine Learning and Knowledge Discovery

INESC-ID · Rua Alves Redol 9, 1000-029 Lisboa, Portugal

INESC-IDInstituto Superior TécnicoELLIS Lisbon

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30 results

Evaluating generalization in Deep Reinforcement Learning with Procedural Generated Environments
Dissertation match 46%
Deep learning when data is scarce
Dissertation match 41%
Pretraining the Vision Transformer using self-supervised methods for vision-based deep reinforcement learning
Dissertation match 40%
Assessing Large Language Models for information verification in Portuguese
Dissertation match 40%
Hybrid Prompt Optimization for Sparse Autoencoder Feature Visualization in Large Language Models
Dissertation match 39%
Applying Deep Learning to Medical Images
Dissertation match 37%
Adaptive Early Vision Networks: Learning Biologically Constrained Front-Ends for Robust Visual Recognition
Dissertation match 37%
Operation log monitoring using machine learning
Dissertation match 36%
Improving Retrieval Augmented Generation using LLMs
Dissertation match 36%
A Modular Architecture for Model-Based Deep Reinforcement Learning
Dissertation match 34%
Using Knowledge Graphs to model Digital Footprints
Dissertation match 34%
Unmixing mass spectra using machine learning for species identification
Dissertation match 32%
MyWatson: A system for interactive acess of personal records
Dissertation match 32%
An Intelligent Software Agent for Personalized Tutoring
Dissertation match 32%
Transaction-Based Entity Monitoring in a Client Due Diligence Context
Dissertation match 31%
Multimodal Document Representation Learning
Dissertation match 31%
Using graph embeddings to explore deep neural network architectures
Dissertation match 30%
Using Large Language Models do solve the Abstraction and Reasoning Challenge
Dissertation match 30%
Automatic Annotation of Unstructured Fields in Medical Databases
Dissertation match 30%
Combining off and on-policy training in Deep Reinforcement
Dissertation match 30%
Using large language models to interact with personal information systems
Dissertation match 29%
Multi-Modal Autoencoder Framework for Predicting Plasma Proteome from Genomic Data Using AlphaGenome
Dissertation match 28%
Handling Portuguese Varieties with Pre-Trained Language Models
Dissertation match 28%
Generation of New Scientific Knowledge using LLMs
Dissertation match 28%
Enhancing Fine-Grained Perceptual Understanding of Scientific Graphs in Vision Language Models
Dissertation match 28%
Predicting Frequency and Claims of Health Insurance with Machine Learning techniques
Dissertation match 28%
Old photo and image restoration using deep learning techniques
Dissertation match 27%
Representation learning of animal behavior
Dissertation match 26%
Using biological features to improve deep neural network models for vision
Dissertation match 26%
Developing a Sense of Humour in Large Language Models
Dissertation match 26%