Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Envíos recientes
Mostrando ítems 61-80 de 394
A data driven framework for mental health states assessment in social platforms
The link between mental disorders and social media usage has led researchers to work on the development of automated methods to detect mental health issues in social platforms. This thesis proposes a framework for mental ...
Using EEG-based BCI settings and brain-state dependent stimulation as research tools for hypothesis-testing in cognitive neuroscience: a test-bench for brain-behavioural
Spontaneous oscillations in the alpha band (α, 8–12 Hz) reflect ongoing fluctuations in cortical excitability. Several theoretical frameworks and empirical studies have supported the notion that distinct features of ...
Exploration of music collections with audio embeddings
Music recommendation systems (RecSys) are integral to modern music streaming services. While there is much research on many aspects of RecSys, there is not enough research on exploration and discovery that contributes to ...
Social media analysis for situational awareness and impact assessment in flood risk management
The interactions among people on social media are a form of distributed intelligence, as they allow people to make sense of a developing event collectively. Social media users can contribute to creating a "sensor" for ...
Lagragian duality for efficient large-scale reinforcement learning
Reinforcement learning is an expanding field where very often there is a mismatch between the high performance of the algorithms and their poor theoretical justification. For this reason, there is a need of algorithms ...
Natural language processing technologies in compensatory supports for people with aphasia and acquired reading impairments
Aphasia is often associated with reading impairments. Nonetheless, supports designed for people with aphasia and acquired reading impairments allowing autonomous access to written material are lacking. These individuals ...
Representation learning for music classification and retrieval: bridging the gap between natural language and music semantics
The explosion of digital music has dramatically changed our music consumption behavior. Massive digital music libraries are now available through streaming platforms. Since the amount of information available to ...
Motivations, engagement, and incentives in online communities: contributions to theory, data analytics and design
The success of an online community depends on the contributions and actions performed by the community members. This dissertation aims to understand the dynamics of participation in regulated, not-for-profit, open online ...
In-depth exploration of the syntactic capabilities of autoencoding language models for downstream applications
Pretrained Transformer-based language models have quickly replaced traditional approaches to model NLP tasks, pushing the state of the art to new levels, and will certainly continue to be very influential in the years ...
Generalized exterior-algebraic electromagnetism in (k, n)-dimensional spacetime
This doctoral thesis aims to find a connection between two different disciplines. On the one hand, the electromagnetic theory, one of the most known and most applied theories in physics, properly described by the famous ...
Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology
El diagnóstico asistido por ordenador de enfermedades cardiovasculares (CVD) con resonancia magnética cardíaca (CMR) es un campo importante de investigación para el fenotipado avanzado de imágenes cardíacas. Las mediciones ...
A machine learning approach to computer modeling of musical expression for performance learning and practice
Aquesta tesi tracta sobre el disseny i la implementació de sistemes informàtics per a l'execució musical expressiva (CSEMP), explorant diferents mètodes de l'aprenentatge automàtic i reflexionant sobre el paper de l'estructura ...
Statistical modelling of the baby face for 3D Face Reconstruction
In this thesis, we address the problem of reconstructing the 3D facial geometry of babies from uncalibrated 2D images. This topic has many different applications, but it is especially relevant for the early diagnosis of ...
Information representation and processing in neuronal networks: from biological to artificial systems and from first to second-order statistics
Neuronal networks are today hypothesized to the basis for the computing capabilities of biological nervous systems. In the same manner, artificial neuronal systems are intensively exploited for a diversity of industrial ...
Construction of injectable wireless microstimulators based on rectification of volume conducted high frequency currents
Functional neuromuscular stimulation (FNS) refers to the delivery of electrical stimuli to nerves or muscles to enhance, modify or restore motor functions. Despite their invasiveness, implantable systems for FNS offer ...
Large-scale online learning under partial feedback
La toma secuencial de decisiones con incertidumbre cubre una amplia clase de problemas. Las aplicaciones reales requieren que los algoritmos sean computacionalmente eficientes y escalables. Nosotros estudiamos un rango ...
Data-driven pitch content description of choral singing recordings
Ensemble singing is a well-established practice across cultures, found in a great diversity of forms, languages, and levels. However, it has not been widely studied in the field of Music Information Retrieval (MIR), ...
Deep learning and unsupervised machine learning for the quantification and interpretation of electrocardiographic signals
Las señales electrocardiográficas, ya sea adquiridas en la piel del paciente (electrocardiogamas de superficie, ECG) o de forma invasiva mediante cateterismo (electrocardiogramas intracavitarios, iECG) ayudan a explorar ...
Neural networks for singing voice extraction in monaural polyphonic music signals
This thesis dissertation focuses on singing voice extraction from polyphonic musical signals. In particular, we focus on two cases; contemporary popular music, which typically has a processed singing voice with instrumental ...
Studying collaborative learning space design with multimodal learning analytics
Research has provided relevant advances in evidence-based design for productive learning. For example, in the field of collaborative learning, there is extensive evidence for some key learning design elements, such as ...
