Now showing items 26783-26802 of 41446

    Machine Learning Approaches for Comprehensive Analysis of Population Cancer Registry Data 

    Florensa Cazorla, Dídac (Date of defense: 2023-04-19)

    Els registres de càncer basats poblacionals són crucials per controlar i estudiar la incidència, mortalitat i supervivència del càncer. A més, explorar fonts d'informació externes per complementar aquests registres permet ...

    Machine learning assisted QoT estimation for optical networks optimization 

    Mahajan, Ankush (Date of defense: 2021-09-28)

    The tremendous increase in data traffic has spurred a rapid evolution of the optical networks for a reliable, affordable, cost effective and scalable network infrastructure. To meet some of these requirements, network ...

    A machine learning based methodology for anomaly detection in dam behaviour 

    Salazar González, Fernando (Date of defense: 2017-02-23)

    Dam behaviour is difficult to predict with high accuracy. Numerical models for structural calculation solve the equations of continuum mechanics, but are subject to considerable uncertainty as to the characterisation of ...

    Machine learning for aircraft trajectory prediction: a solution for pre-tactical air traffic flow management 

    Mateos Villar, Manuel (Date of defense: 2022-11-08)

    (English) The goal of air traffic flow and capacity management (ATFCM) is to ensure that airport and airspace capacity meet traffic demand while optimising traffic flows to avoid exceeding the available capacity when it ...

    Machine learning for quantum physics and quantum physics for machine learning 

    Huembeli, Patrick (Date of defense: 2021-03-25)

    Research at the intersection of machine learning (ML) and quantum physics is a recent growing field due to the enormous expectations and the success of both fields. ML is arguably one of the most promising technologies ...

    Machine learning in multiscale modeling and simulations of molecular systems 

    Hashemian, Behrooz (Date of defense: 2015-05-08)

    Collective variables (CVs) are low-dimensional representations of the state of a complex system, which help us rationalize molecular conformations and sample free energy landscapes with molecular dynamics simulations. ...

    Machine learning in structural biology and chemoinformatics : Driving drug discovery one epoch at a time 

    Jiménez Luna, José (Date of defense: 2019-10-24)

    Deep learning approaches have become increasingly popular in the last years thanks to their state-of the-art performance in fields such as computer vision and natural language understanding. The first goal of this thesis ...

    Machine learning methods for predicting days to discharge in Intensive Care Units patients 

    Cuadrado Gómez, David (Date of defense: 2023-10-30)

    Les UCI donen atenció especialitzada per a pacients crítics, amb monitorització constant i equips d'atenció mèdica dedicats fins a la seva estabilitat per ser traslladats o donats d'alta. Una planificació inadequada pot ...

    Machine learning methods for the analysis of liquid chromatography-mass spectrometry datasets in metabolomics 

    Fernández Albert, Francesc (Date of defense: 2014-10-30)

    Liquid Chromatography-Mass Spectrometry (LC/MS) instruments are widely used in Metabolomics. To analyse their output, it is necessary to use computational tools and algorithms to extract meaningful biological information. ...

    Machine learning methods for the characterization and classification of complex data 

    Amil Marletti, Pablo (Date of defense: 2020-02-11)

    This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order anterior chamber OCT ...

    Machine learning methods for understanding social media communication: modeling irony and emojis 

    Barbieri, Francesco (Date of defense: 2018-01-25)

    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 ...

    Machine learning techniques for adaptive polynomial and neural network digital predistorters 

    López Bueno, David (Date of defense: 2023-07-07)

    (English) The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. ...

    Machine Learning techniques in bioinformatics: From data integration to the development of application-oriented tools 

    Junet, Valentin Pierre (Date of defense: 2022-02-01)

    Els darrers desenvolupaments en Machine Learning tenen com a objectiu automatitzar els mètodes disponibles, convertint-los en universals alhora que requerint el mínim coneixement expert possible. En aquesta tesi, farem un ...

    Machine learning to support exploring and exploiting real-world clinical longitudinal data 

    Nogueira, Mariana (Date of defense: 2020-10-05)

    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 ...

    Machine learning-based techniques for indoor localization and human activity recognition through wearable devices 

    Sansano Sansano, Emilio (Date of defense: 2020-12-22)

    This thesis approaches the study of several machine learning techniques to improve the performance of indoor positioning systems, with a special focus on wearable and low-cost devices. It also presents some tools designed ...

    Machine translation in a professional translation workflow: post-editing or computer aided translation 

    Cabello Sánchez, Ricardo (Date of defense: 2023-02-23)

    Localization is a fascinating field which has changed dramatically in the last years and it is still changing and adapting itself as society is. The use of machine translation has developed this field astonishingly. Many ...

    Machine Translationness: a Concept for Machine Translation Evaluation and Detection 

    Moré i López, Joaquim (Date of defense: 2015-05-18)

    La tradautomaticitat és el fenomen lingüístic que fa que les traduccions automàtiques sonin a màquina. Aquesta tesi introdueix el concepte de tradautomaticitat com un objecte de recerca i presenta un mètode d'avaluació que ...

    Machine-Learning Applied Methods 

    Mauricio Palacio, Sebastián (Date of defense: 2020-07-23)

    The presented discourse followed several topics where every new chapter introduced an economic prediction problem and showed how traditional approaches can be complemented with new techniques like machine learning and deep ...

    Machine-learning to promote better practices of low-cost wearable devices in tremor diseases 

    Loaiza Duque, Julián David (Date of defense: 2023-10-27)

    (English) The most common tremor disorders worldwide are Parkinson's Disease and Essential Tremor. The gold standard for diagnosing these movement disorders is medical evaluation by neurologists, but its accuracy depends ...

    Machismo puertas adentro. Representaciones sociales sobre trabajo doméstico y trabajo de cuidados en parejas de doble ingreso de la ciudad de Talca, Chile. 

    Aravena Vega, Verónica (Date of defense: 2021-11-30)

    En un escenario de intensas transformaciones sociales y familiares, y de búsqueda de equilibrio en la distribución de roles al interior de las familias, la conciliación del trabajo productivo y reproductivo emerge como un ...