Universitat Pompeu Fabra
La UPF és una universitat pública, internacional i intensiva en recerca que està al nivell de les millors universitats europees. Amb excel·lents indicadors de producció científica com és el cas de les tesis doctorals en accés obert.
Si sou doctor o doctora de la Universitat Pompeu Fabra i voleu publicar la vostra tesi a TDX, contacteu amb CAU . Per a més informació consulteu Publicació de tesis a TDX. i les preguntes més freqüents
Psychotic disorders are characterized by poorly understood pathophysiological mechanisms, with a remarkable heterogeneity among patients, both cross-sectionally and longitudinally. This results in a lack of definitive ...
Medical visualization, commonly used in clinical routine for exploring cardiac data, is based on traditional techniques including multiplanar reformations, maximum intensity projection, and volume rendering that rely ...
In recent years, the field of Fully Homomorphic Encryption (FHE) has become one of the main pilars for privacy-preserving technologies. However, many challenges still remain to be tackled before this technology can be ...
This thesis, a compendium of publications, aims at contributing knowledge to better design CSCL tools for promoting socioemotional interactions and regulation. We started with a field study in which we observed groups ...
This dissertation investigates three methods for improving speech recognition in challenging conditions, focusing on feature enhancement and extending beyond spectral features. First, it demonstrates that incorporating ...
This thesis investigates the complex nature of the blockchain ecosystem, where technology, law, and economics intersect across layers and applications. By offering an interdisciplinary perspective on blockchains, we seek ...
Although the left ventricle has traditionally held the spotlight as the primary determinant of cardiovascular disease prognosis, the characterization of left atrial hemodynamics is increasingly being recognized as a ...
Reinforcement Learning (RL), a subfield of machine learning and artifical intelligence, is a learning paradigm where an artificial agent learns to reach a predefined goal by trying to maximize a reward signal while ...
This thesis delves into the transformative potential of Electronic Health Records and Machine Learning in the prevention of mental health crisis relapses. Our work focuses on the prediction of these relapses throughout the ...
Borderline personality disorder (BPD) is one of the most studied personality disorders, given its prevalence and the severity of its symptoms. In the last years, several models of the disorder were presented, however, no ...
Our everyday perception of the world is remarkably unambiguous, considering that it stems from a multitude of ambiguous sensory signals. This feat is believed to be achieved by a set of perceptual and cognitive mechanisms ...
Representation learning is the field of modern machine learning focused on automatically producing useful representations from data. This thesis studies the impact of data volumes, annotation perspectives, and structural ...
This dissertation presents a novel computational pipeline for creating patient-specific models of brain development. Initially, the human brain develops from a smooth to a convoluted cortical surface, with abnormal ...
In recent years, there's been increasing concern over potential negative experiences for adolescents on social media. Despite efforts in social media literacy education, traditional approaches often neglect crucial ...
Brain circuits display modular architecture at different scales of organization. Such neural assemblies are typically associated to functional specialization that favours both the segregation and the integration of ...
Oscillations at theta frequency (4-7 Hz) have been hypothesized to play an important functional role in brain processes associated to working memory. In this thesis, I investigate how the systematic manipulation of different ...
This thesis presents new phase-based signal analysis techniques to study brain dynamics from patients with pharmacoresistant focalonset epilepsy. We analyze electroencephalographic (EEG) recordings from seizure and ...
This dissertation explores motivation within Collaborative Learning Flow Patterns (CLFP), focusing on the Pyramid CLFP. It investigates how incorporating game mechanics (GM) can foster both intrinsic and extrinsic motivation ...
This doctoral thesis presents two different computational approaches to explore mechanistically chondrocyte dysregulation and identify biomarkers, to better understand patient stratification systems in primary knee ...
In recent years, zero-knowledge proofs have come to play a crucial role in distributed systems where there is no trust between the parties involved. Most popular proof systems are for the NP-complete language of arithmetic ...
