Coleman, Graham Keith (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 (Date of defense: 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 ...