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
The creation of learning designs (LD) represents a pivotal aspect of pedagogical practice, as it entails the integration of subject-matter knowledge with the pedagogical expertise of individual educators. Furthermore, ...
This thesis addresses the growing problem of degenerative disorders of the intervertebral discs (IVD). Intervertebral Disc Degeneration (IDD) represents a progressive degradation of the IVDs compromising their biomechanical ...
The advent of spatial content and increasingly advanced mixed reality devices is set to revolutionise the manner in which we interact with digital content, becoming the predominant human-computer interface in the ...
Music audio tagging is the Music Information Retrieval task of assigning one or multiple labels to an audio signal. Current state-of-the-art music taggers rely on deep learning approaches, which offer high performance ...
This thesis investigates the development of core Music Information Retrieval (MIR) technologies for Violin Performance Analysis, addressing both data and label scarcity. To mitigate data scarcity, the Violin Repertoire ...
The study of complex systems has unraveled the basic principles underlying the emergence of collective behaviors in networks of interacting units. Following this framework, we suggest that excitatory-inhibitory balance ...
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 ...
