Universitat Pompeu Fabra
Mostrando ítems 192-211 de 376
Although tracking data have completely revolutionized the whole data science paradigm in sports competitions with the largest economic resources, its use in a European context is still unexplored. In this thesis, three ...
Students’ metacognition, that is, the ability to accurately assess one’s skill level and to update one’s internal model of those skills, is a crucial educational factor, as it can help students selfregulate their learning. ...
Natural Language Processing (NLP) is the branch of Artificial Intelligence aimed at understanding and generating language as close as possible to a human’s. Today, NLP benefits substantially of large amounts of unnanotated ...
In this thesis, we address the problems of classifying and recommending music present in large collections. We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album ...
This thesis proposes specific signal processing and machine learning methodologies for automatically aligning the lyrics of a song to its corresponding audio recording. The research carried out falls in the broader field ...
La present tesi doctoral té com a objectiu l’anàlisi de la commemoració televisiva de la Victòria sobre l’Alemanya nazi a la Rússia post-soviètica. En particular, l’anàlisi es centra en la retransmissió de la desfilada ...
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 ...
Los sistemas online para compartir fotos proporcionan una valiosa fuente de contenidos generado por el usuario (UGC). La mayor a de los sistemas de re- cuperaci on de im agenes Web utilizan las anotaciones textuales ...
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 ...
Due to technological advancements, robots will soon become part of our daily lives and interact with us on a frequent basis. Robot acceptance is important, as it delineates whether users will potentially interact with ...
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 ...
In the last decades, there has been an increased interest in decoding speech exclusively using visual cues, i.e. mimicking the human capability to perform lip-reading, leading to Automatic Lip-Reading (ALR) systems. ...
This thesis investigates two key aspects of learning deep-based image representations for medical diagnosis. The two are confronted with common challenges of medical image databases, namely, the limited number of samples, ...
Many aspects related to the pathogenesis and progression of atrial fibrillation (AF) are still not fully understood. In this thesis we have contributed with (1) an automatic framework to segment the left atrium (LA) from ...
Los títulos de crédito son secuencias que cumplen con una función estructural del relato fílmico siendo, a su vez, parte representante del hecho cinematográfico. Su carácter de firma autoral e identificador general integra ...
IEEE 802.11 based wireless networks, especially the infrastructure based Wireless Local Area Networks (WLANs) or Wi-Fi networks, are hugely successful, and have become an indispensable part of our life at homes and working ...
Gestures can be defined as a form of non-verbal communication associated with an intention or an emotional state articulation. They are not only intrinsically part of the human language, but also explain specific details ...
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 ...
In this dissertation we propose algorithms for the analysis of social media texts, focusing on two particular aspects: irony and emojis. We propose novel automatic systems, based on machine learning methods, able to recognize ...
Following-up on patient evolution by reacquiring the same measurements over time (longitudinal data) is a crucial component in clinical care dynamics, as it creates opportunity for timely decision making in preventing ...
