Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Enviaments recents
Ara mostrant els elements 141-160 de 394
Deep neural networks for music and audio tagging
Automatic music and audio tagging can help increase the retrieval and re-use possibilities of many audio databases that remain poorly labeled. In this dissertation, we tackle the task of music and audio tagging from the ...
Computational models of the heart for planning and treatment of outflow tract ventricular arrhythmias
The purpose of this thesis was to develop personalised cardiovascular therapy guided by multimodal noninvasive imaging and simulations, combined with artificial intelligence tools, for the management of the outflow tract ...
Towards the improvement of decision tree learning: a perspective on search and evaluation
Data mining and machine learning (ML) are increasingly at the core of many aspects of modern life. With growing concerns about the impact of relying on predictions we cannot understand, there is widespread agreement regarding ...
From pixels to particles: multi-physics meshless model of the heart
The functioning of the heart, which main role is pumping blood to the rest of the body, is the result of a complex combination of multi-scale physical processes from the molecular to the tissue level. The predominance of ...
Electroporation and peripheral nerve stimulation
This thesis aimed at addressing questions within the fields of electroporation and peripheral nerve stimulation and, in particular, those that arise from the interaction between the two phenomenona. On the one hand, ...
Early screening of dyslexia using a language-independent content game and machine learning
Els nens amb dislèxia tenen dificultats per aprendre a llegir i escriure. Sovint se'ls diagnostica després de fallar a l'escola, encara que la dislèxia no estigui relacionada amb la intel·ligència general. En aquesta tesi, ...
Quantification of the influence of detailed endocardial structures on human cardiac haemodynamics and electrophysiology using HPC
In the last decade, computational modelling has been playing an important role as a non-invasive technology that may significantly impact the diagnosis as well as the treatment of cardiac diseases. As an example, the Food ...
Learning mechanisms of uncertainty and neuromodulation
Learning systems are, by default, adaptive. Experience shapes the parame- ters of artificial systems, as well as it changes the connectivity of biological brains. Nonetheless, our attempts to create artificial learning ...
How do infants represent others?: biases towards native language and rational agents
Much of the information infants acquire they learn it by observing and interacting with others. However, not all individuals provide information that is functionally and/or culturally relevant. Infants’ capacity of identifying ...
Analysis of interaction design and evaluation methods in full-body interaction for special needs: collaborative virtual environments for improving socialization in children with autism
This thesis is focused on the specific properties and evaluation of full-body interaction design of multi-user mixed reality environments to aid in intervention strategies for children with autism, to improve their ...
Error exponent analysis for the multiple access channel with correlated sources
Due to delay constraints of modern communication systems, studying reliable communication with finite-length codewords is much needed. Error exponents are one approach to study the finite-length regime from the ...
Supporting teachers as designers with community and learning analytics : a framework, technology, and case studies
The notion of teachers as designers of learning environments has emerged with the increasing use of Information and Communication Technologies (ICT) in Education. Research in Learning Design (LD) studies how to support ...
Grounding body ownership and language in action: evidence from healthy and damaged brains
Contrary to the classical theory of mind, largely inspired by dualism, the theoretical framework of embodiment emphasizes the constitutive role of the body in the process of cognition. This view also referred to as the ...
Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms
An abdominal aortic aneurysm (AAA) is a focal dilation of the aorta that may lead to its rupture. The most common treatment for AAAs is endovascular aneurysm repair (EVAR). EVAR implies lifelong postoperative surveillance ...
An Object-oriented metamodel for digital signal processing with a focus on audio and music
Classical models for information transmission such as Shannon and Weaver's still tend to be looked at as the only possible scenarios where signal processing applications can be formally modeled. Meanwhile, other disciplines ...
3D reconstruction for plastic surgery simulation based on statistical shape models
This thesis has been accomplished in Crisalix in collaboration with the Universitat Pompeu Fabra within the program of Doctorats Industrials. Crisalix has the mission of enhancing the communication between professionals ...
Human-centered learning design with technology
To improve and innovate education, a novel conception of the role of design in this realm is needed. Human-centered design (HCD), a problem-solving framework underpinned by the user perspective in all stages of the ...
Automatic and deliberate control of action: an embodied perspective of artificial and biological brains
Animals evolved to survive in dynamic environments by developing multiple behavioral strategies to adapt and to learn from their interaction with the world. Associative mechanisms and internal representations are at the ...
MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR
This tesis reports on research carried out and published during the last twenty years on different problems of Music Information Retrieval (MIR). We organize the text as a personal account and critical reflection along ...
Collective phenomena in networks of spiking neurons with synaptic delays
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective oscillations generated by the interplay between synaptic coupling and synaptic delays. This thesis investigates the emergence ...
