Mordvanyuk, Natalia (Date of defense: 2021-10-13)
The contributions of the present thesis are in the domain of Pattern Mining and Knowledge Discovery, being of particular relevance for the sequential pattern mining and time-interval related pattern ...
Rodríguez Benítez, Antonio (Date of defense: 2020-06-16)
Serious games are games designed to entertain and also to teach or transmit some knowledge. They are present in many areas such as military, health, manufacturing, education or medicine, just to name a ...
Bernal Moyano, Jose (Date of defense: 2020-10-27)
The quantification of cerebral atrophy is fundamental in neuroinformatics since it permits diagnosing brain diseases, assessing their progression, and determining the effectiveness of novel treatments ...
Fajnzylber Reyes, Victor (Date of defense: 2021-09-19)
It is stated that non-photorealistic rendering (NPR) triggers specific ocular behaviors that can have a real effect on the way of perceiving a cinematic narrative. The transdisciplinary interest of ...
Istenič, Klemen (Date of defense: 2021-03-25)
This thesis addresses the development of resources for accurate scaling and uncertainty estimation of image-based 3D models for scientific purposes based on data acquired with monocular or unsynchronized ...
Clèrigues Garcia, Albert (Date of defense: 2023-02-13)
This PhD thesis focuses on improving the extraction of neuroimage markers for the prognosis and outcome prediction of neurological pathologies such as ischemic stroke, Alzheimer’s disease (AD) and ...
Julià i Juanola, Adrià (Date of defense: 2022-11-11)
The purpose of this thesis is the research and development of methods, algorithms and tools for the analysis of composite materials. In order to improve their properties, one must employ specific ...
Banús Paradell, Núria (Date of defense: 2021-12-16)
Machine vision systems and artificial intelligence techniques are two active research areas in the context of Industry 4.0. Their combination allows the reproduction of human procedures while improving ...
Galván Femenía, Iván (Date of defense: 2020-07-10)
The present thesis is a compendium of three research articles produced between 2015 and 2019. The three articles are different contributions based on compositional statistical methodology and statistical ...
Kushibar, Kaisar (Date of defense: 2020-07-20)
This PhD thesis focuses on the development of deep learning based methods for accurate segmentation of the sub-cortical brain structures from MRI. First, we have proposed a 2.5D CNN architecture that ...