Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Recent submissions

Now showing items 41-60 of 389

Characterizing brain mechanisms underlying Neurofeedback and Meditation through whole-brain computational modeling and artificial intelligence 

De Filippi, Eleonora (Date of defense: 2022-11-23)

En las últimas décadas, un cambio de paradigma en el estudio y el tratamiento de los trastornos cerebrales ha hecho que se preste más atención a nuevas intervenciones terapéuticas. En esta línea, las técnicas de autorregulación, ...

Grounding brain mechanisms in the spatiotemporal properties of cerebral and behavioral networks 

Ulysse, Laura (Date of defense: 2022-11-04)

The spatiotemporal properties of the cerebral and behavioral networks are key elements to understand normal brain functioning and their breakdowns. This dissertation focuses on the cerebral networks of the brain regions’ ...

Algorithmic bias in graph-based recommender systems 

Fabbri, Francesco (Date of defense: 2022-10-25)

Recommender Systems represent a key instrument to convey consumption of contents available on the Web. They enhance the engagement among the users and the online platforms through algorithmic personalization. Injecting ...

The Next Wi-Fi Generation: towards intelligent and multi-link enabled networks 

López Raventós, Álvaro (Date of defense: 2022-10-26)

The next Wi-Fi generation poses in front of a massive challenge as the main enabler for new services and applications. Traffic requirements are expected to keep rising year over year, challenging Wi-Fi networks to cope ...

Human-centered machine learning for music emotion recognition 

Gómez Cañón, Juan sebastián (Date of defense: 2022-10-26)

This doctoral thesis is focused on music in terms of emotion -- such algorithms compose the computational task of music emotion recognition (MER). MER evaluates emotionally relevant features from music, correlates them ...

Coupling by volume conduction as a wireless power transfer and communications method for threadlike biomedical implants. 

Tudela Pi, Marc (Date of defense: 2022-10-27)

Although the use of volumetric conduction to power wireless implants has been experimentally validated in recent years, a theoretical framework to determine the power and efficiency obtained by minimally invasive implants ...

Algebraic techniques for universal succinct arguments 

Zapico Barrionuevo, Victoria Arantxa (Date of defense: 2022-10-13)

In this thesis, we make theoretical and practical contributions to the design of succinct arguments with universal setups in the pairing-based setting. We first introduce a new primitive, Checkable Subspace Sampling (CSS) ...

Symmetries in constraint satisfaction: Weisfeiler-Leman invariance and promise problems 

Butti, Silvia (Date of defense: 2022-10-20)

This thesis focuses on the complexity of the fixed-template Constraint Satisfaction Problem (CSP) and its variants. Our contributions are two-fold. On the one hand, we study how closure of the space of CSP instances under ...

Computational fluid simulations in clinical datasets for understanding thrombus formation before and after left atrial appendage occlusion 

Mill Tena, Jordi (Date of defense: 2022-10-14)

Atrial fibrillation is considered the most common arrhythmia in humans. Because the left atrium of the heart stops beating properly and begins to do so in an arrhythmic manner, the blood may become stagnant in a small ...

Succinct arguments: efficiency, assumptions and trade-offs 

Zacharakis, Alexandros (Date of defense: 2022-10-10)

Succinct non-interactive arguments (snarks) are cryptographic constructions that allow a prover to convince a verifier about the validity of a statement regarding some computation. We consider these objects from the ...

Towards audio-visual deep learning methods for singing voice separation and lip synchronization 

Shenoy Kadandale, Venkatesh (Date of defense: 2022-09-08)

A typical music audio consists of different sounds spread across voices and musical instruments. We propose a low-cost deep learning (DL) method for simultaneously isolating multiple sound sources present in a music ...

Decision-making during action 

Ozbagci, Duygu (Date of defense: 2022-09-12)

Decision making requires coordinating motor actions that are necessary to report the choices and sample relevant information from the environment. For instance, when riding a bike on a busy road, rider must both pedal while ...

Computational image analysis methods for the study of perinatal brain development 

Urru, Andrea (Date of defense: 2022-07-28)

Perinatal medicine has drawn increasing attention by the neuroscientific research community, as an early detection of most pathologies leads to more effective therapies and treatments. Monitoring fetal and neonatal brain ...

Algorithmic fairness in practice: data, models and interactions 

Solans Noguero, David (Date of defense: 2022-09-14)

The fast-growing adoption of technologies based on Machine Learning (ML), in addition to the large scale at which they operate, makes them a potential source of systematic discrimination against disadvantaged social ...

Modeling timbre for neural singing synthesis: methods for data-efficient, reduced effort voice creation, and fast and stable inference 

Blaauw, Merlijn (Date of defense: 2022-07-22)

Singing synthesis has seen a notable surge in popularity in the last decade and a half. Music producers use this technology as an instrument, there is an audience for music with synthetic vocals, and an entire range of ...

A data driven framework for mental health states assessment in social platforms 

Ramírez Cifuentes, Diana (Date of defense: 2022-07-14)

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 

Vigué-Guix, Irene (Date of defense: 2022-07-19)

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 

Tovstogan, Philip (Date of defense: 2022-07-12)

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 

Lorini, Valerio (Date of defense: 2022-07-07)

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 

Bas Serrano, Joan (Date of defense: 2022-06-28)

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 ...