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
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 ...
Reading is an essential skill that plays a crucial role in our daily lives. It allows us to access information, gain knowledge, expand our understanding of the world around us, and build the foundation for learning, ...
Psychotic disorders are highly heterogeneous, complicating diagnosis and treatment. The mechanisms underlying these disorders are still unclear, and bridging the gap between neural properties and impairments remains a ...
Deep-learning models have revolutionized state-of-the-art technologies in many research areas, but their black-box structure makes it difficult to understand their inner workings and the rationale behind their predictions. ...
Social media is a valuable platform for sharing real-time perspectives and insights, particularly during dynamic events. Extracting relevant information from social media during emergencies can be challenging, especially ...
Adult Spine Deformity (ASD) leads to abnormal spine curvature causing imbalance, pain, and fall risk. Spinal surgery is common but carries the risk of Mechanical Complications (MC), notably Proximal Junctional Failure ...
This PhD thesis explores how data science can be leveraged to learn from diverse cohorts and fuse information from heterogeneous data, aiming to advance understanding and improve prediction in healthcare settings. It covers ...
During the deep phases of sleep we do not normally wake up by a thunder, but we nevertheless notice it when awake. The exact same sound gets to our ears and cortex through the thalamus and still, it triggers two very ...
The idea of optimal decision-making presupposes certain features about the agent and their environment. This thesis examines two common assumptions in disciplines that study natural and artificial behavior: perfect ...
Hierarchical Reinforcement Learning (HRL) has the potential to simplify the solution of environments with long horizons and sparse rewards. The idea behind HRL is to decompose a complex decision-making problem into ...
The past decade has seen several attempts to employ the entropy of neuroimaging signals as a potential biomarker for cognitive decline or traumatic brain injury (C. Y. Liu et al. 2013; Adhikari et al. 2017; Li et al. 2018). ...
The detection of hate speech in online spaces is traditionally conceptualized as a classification task that uses Machine Learning (ML)-driven Natural Language Processing (NLP) techniques. In accordance with this ...
Nuestro cerebro tiene la habilidad innata de aislar diferentes sonidos en ambientes ruidosos (Efecto de fiesta de coctel), así como de entender la relación entre aquello que vemos y oímos. Esta tesis tiene como objetivo ...
In this thesis, we present a set of protocols in areas at the core of current blockchain technology literature; consensus, decentralized finance and distributed computing. These areas are bound by a critical dependency ...
