Browsing Doctorado en Ingeniería - Sistemas y Computación by Author "Mindlab"

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Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection

Gallego-Mejia, Joseph A.

The main goal of this thesis is to propose efficient non-parametric density estimation methods that can be integrated with deep learning architectures, for instance, convolutional neural networks and transformers. A ...
Regression and multimodal learning to aid diagnosis in ophthalmology and histopathology

Toledo Cortés, Santiago

The main contribution of this thesis is the development of probabilistic machine learning models to support disease diagnosis from medical data sources. We show how a probabilistic approach offers great versatility in ...