Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Envíos recientes
Mostrando ítems 21-40 de 394
The Functional role of theta oscillations in visual working memory performance
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 ...
Phase-based signal analysis measures applied to electroencephalographic recordings from epilepsy patients
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 ...
Motivation-driven mechanics in computer-supported collaborative learning scripts
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 ...
Mechano-biochemical systems modelling for patient stratification in osteoarthritis
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 ...
A Comprehensive study of arithmetic circuits and elliptic curves for efficient and scalable zero-knowledge proof systems
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 ...
Multilingual adaptative text simplification
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, ...
Towards a comprenhension of spatiotemporal brain dymamics in psychotic disorders a whole-brain computational perspective based on fMRI
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 ...
Interpretable deep-learning models for sound event detection and classification
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. ...
Multilingual retrieval of crisis-relevant information from social media
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 ...
Proximal junctional failure stratification in adult spine surgery using 3D patient-specific finite element models
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 ...
Information fusion and learning from diverse clinical cohorts and heterogeneus data
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 ...
Information propagation in the cortex across the sleep-wake cycle: a computational study
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 ...
Constraints and rewards in behavior and optimal decision making
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 ...
Representation learning for hierarchical reinforcement learning
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 ...
Complexity changes in neuroimaging signals point to mechanisms of neuropsychiatric disease
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). ...
Re-thinking large scale hate speech identification: beyond common NLP conventions and supervised machine learning
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 ...
Towards efficient audio-visual source separation and synthesis
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 ...
Improvements to incentives in incentive-driven blockchain technologies
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 ...
Toward empathic systems: implicit understanding and modulation of human cognitive and affective states
Emotions are a fundamental part of human life. They play a critical role in how we think, behave, and implicitly understand each other. However, although computing devices are increasingly consequential in our world, they ...
Zero-knowledge proofs for self-sovereign identities in decentralized services
Telecommunication systems such as mobile communications are evolving over time, and thanks to that, many digital services have arisen in the last decade. Usually, these services ask their users to provide sensitive information ...
