Mostrando ítems 1-10 de 47
Coleman, Graham Keith (Fecha de defensa: 2016-02-05)
Sampling, as a musical or synthesis technique, is a way to reuse recorded musical expressions. In this dissertation, several ways to expand sampling synthesis are explored, especially mosaicing synthesis, ...
Şentürk, Sertan (Fecha de defensa: 2017-02-22)
This thesis addresses several shortcomings on the current state of the art methodologies in music information retrieval (MIR). In particular, it proposes several computational approaches to automatically ...
Özaslan, Tan Hakan (Fecha de defensa: 2013-11-29)
L’estudi de l’expressivitat musical és un camp molt actiu en la computació musical. El seu interès ve donat per diverses motivacions: entendre i modelitzar l’expressivitat musical; identificar els ...
De Santiago , Jessica (Fecha de defensa: 2021-03-19)
In neuropsychiatry, the development of brain imaging and dedicated data analysis for personalized medicine promises to predict both the evolution of diseases and responses of treatments. The ability to ...
Sánchez Martínez, Sergio (Fecha de defensa: 2018-09-21)
This thesis focuses on the development of machine learning tools to better characterize the cardiac anatomy and function in the context of heart failure, and in particular their extension to consider ...
Ferraro, Gabriela (Fecha de defensa: 2012-07-20)
This thesis addresses the problem of the development of Natural Language Processing techniques for the extraction and generalization of compositional and functional relations from specialized written ...
Giraldo, Sergio Iván (Fecha de defensa: 2016-09-16)
Computational modelling of expressive music performance deals with the analysis and characterization of performance deviations from the score that a musician may introduce when playing a piece in order ...
Karimi-Haghighi, Marzieh (Fecha de defensa: 2023-01-20)
We try to address some challenges in structured risk assessment tools in two application areas of recidivism risk in criminal justice and dropout risk in higher education domain. Using Machine Learning ...
Schroeder, Michael Philipp (Fecha de defensa: 2014-11-21)
Cancer is a complex disease caused by somatic alterations of the genome and epigenome in tumor cells. Increased investments and cheaper access to various technologies have built momentum for the generation ...
López Raventós, Álvaro (Fecha de defensa: 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 ...