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 ...
Lawrie, Sofía (Date of defense: 2022-03-28)
Neuronal networks are today hypothesized to the basis for the computing capabilities of biological nervous systems. In the same manner, artificial neuronal systems are intensively exploited for a diversity ...
Torres Rivera, Andrés (Date of defense: 2019-10-31)
En el campo de la neología, se han desarrollado diferentes acercamientos metodológicos para la detección y extracción de neologismos semánticos empleando estrategias como la desambiguación semántica y ...
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 ...
Martí Juan, Gerard (Date of defense: 2021-03-22)
Alzheimer's disease (AD), the most common form of dementia, is an incurable neurodegenerative disease that affects millions of elderly people worldwide. Detecting the disease in its early stages is the ...
Nikbakht Silab, Rasoul (Date of defense: 2021-03-17)
This thesis studies parametric optimization in cellular and cell-free networks, exploring data-based and expert-based paradigms. Power allocation and power control, which adjust the transmit power to ...
De Filippi, Eleonora (Date of defense: 2022-11-23)
En las últimas décadas, un cambio de paradigma en el estudio y el tratamiento de los trastornos cerebrales ha hecho que se preste más atención a nuevas intervenciones terapéuticas. En esta línea, las ...
Dzhambazov, Georgi (Date of defense: 2017-06-28)
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 ...
Trussart, Marie (Date of defense: 2015-10-30)
Des de l’aparició de les tecnologies de seqüenciació d’alt rendiment, els conjunts de dades biològiques han esdevingut cada cop més grans i complexes, la qual cosa els fa pràcticament impossibles ...