Ara mostrant els elements 1-10 de 26
Coleman, Graham Keith (Data 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 (Data 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 (Data 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 ...
Sánchez Martínez, Sergio (Data 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 (Data 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 (Data 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 ...
Schroeder, Michael Philipp (Data 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 ...
Liaghat, Zeinab (Data de defensa: 2017-03-09)
Nowadays, the amount of available digital documents is rapidly growing, expanding at a considerable rate and coming from a variety of sources. Sources of unstructured and semi-structured information ...
Edizel, Necati Bora (Data de defensa: 2019-07-26)
Word embeddings are a building block of many practical applications across NLP and related disciplines. In this thesis, we present theoretical analysis and algorithms to learn word embeddings. Moreover, ...
Nunes, Cecília (Data de defensa: 2019-10-25)
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 ...