Browsing by Contributor "Vellido Alcacena, Alfredo"
Now showing items 1-20 of 37
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A framework for artificial data generation based on anatomical differences for electroencephalography-based brain-computer interfaces
(Universitat Politècnica de Catalunya, 2019-07-01)
Master thesis
Open Access
Covenantee: Technische Universität BerlinOne of the major limitations of brain-computer interfaces (BCI) is the need for a long and tedious calibration period in order for a subject to become proficient with the system. A principal challenge in training a BCI ... -
A Python implementation for discriminative multivariate data visualization using a Grand Tour of manifold learning nonlinear methods
(Universitat Politècnica de Catalunya, 2018-10)
Master thesis
Open AccessIn this work has been implemented the manifold grand tour with a GTM structureas a way to improve the intuitiveness of the visualization of the GTM manifold. It is done travelling across each point of the GTM structure and ... -
A stochastic approach for automatic layout synthesis in interior design, using a learningbased scoring function
(Universitat Politècnica de Catalunya, 2016-07-06)
Master thesis
Open Access
Covenantee: InteriorvistaDespite the increasing capabilities of computers to master sophisticated human-like tasks and the recent explosive new wave of Machine Learning-based methods, the interior design field still remains a hard-to-master area, ... -
Advanced Statistical Machine Learning Methods for the Analysis of Neurophysiologic Data with Medical Application
(Universitat Politècnica de Catalunya, 2010-06)
Master thesis
Open AccessTranscranial magnetic stimulation procedures use a magnetic field to carry a short-lasting electrical current pulse into the brain, where it stimulates neurons, particularly in superficial regions of the cerebral cortex. ... -
An EEG-based neural decoding approach for investigating statistical learning between modalities
(Universitat Politècnica de Catalunya, 2018-10)
Master thesis
Open AccessWe researched cross-modal statistical learning conducting to experiments: a behavioural one and a neuroimaging one. In the analysis of the later we used neural decoding with temporal generalization. -
Analysis of class C G-protein coupled receptors using supervised classification methods
(Universitat Politècnica de Catalunya, 2018-10-30)
Doctoral thesis
Open AccessG protein-coupled receptors (GPCRs) are cell membrane proteins with a key role in regulating the function of cells. This is the result of their ability to transmit extracellular signals, which makes them relevant for ... -
Análisis de datos para la detección de anomalías en procesos de soldadura
(Universitat Politècnica de Catalunya, 2018-06-27)
Master thesis
Restricted access - confidentiality agreement
Covenantee: JBC Soldering -
Big data analytics for obesity prediction
(Universitat Politècnica de Catalunya, 2018-04-26)
Master thesis
Open Access
Covenantee: Fundació EurecatFeature selection is an important technique to find the most relevant features. Apache Spark is a big data processing framework but unable to cope with approx. 0.74 million features in our Obesity dataset. However, we ... -
Cartogram representations of self-organizing virtual geographies
(Universitat Politècnica de Catalunya, 2013-09-09)
Master thesis
Open AccessModel interpretability is a problem for multivariate data in general and, very specifically, for dimensionality reduction techniques as applied to data visualization. The problem is even bigger for nonlinear dimensionality ... -
Class c gpcr metabotropic glutamate receptors subtype discrimination using computation intelligence methods
(Universitat Politècnica de Catalunya, 2014-11-16)
Master thesis
Open Access -
Classification of Huntington’s Disease using Structural MRI Data
(Universitat Politècnica de Catalunya, 2020-10-27)
Master thesis
Restricted access - confidentiality agreement -
Clinical assessment of shock through machine learning techniques
(Universitat Politècnica de Catalunya, 2018-04)
Master thesis
Open AccessThis work attempts to identify biomarkers that can be used as indicators for mortality prediction in patients with shock. It uses machine learning techniques to analyze the clinical data, impute missing values in it, select ... -
A computational intelligence analysis of G proteincoupled receptor sequinces for pharmacoproteomic applications
(Universitat Politècnica de Catalunya, 2017-09-18)
Doctoral thesis
Open AccessArguably, drug research has contributed more to the progress of medicine during the past decades than any other scientific factor. One of the main areas of drug research is related to the analysis of proteins. The world ... -
Diseño y desarrollo de un sitio web para gestión de proyectos
(Universitat Politècnica de Catalunya, 2019-01)
Bachelor thesis
Restricted access - author's decisionSe ha querido realizar un proyecto de desarrollo web con el propósito de integrarse en el mercado laboral de dicho sector en el futuro. Para realizar un proyecto con aspiraciones profesionales y con una funcionalidad que ... -
Exploratory analysis of the molecular dynamics of cannabinoid receptor proteins
(Universitat Politècnica de Catalunya, 2020-10)
Master thesis
Open AccessG protein-coupled receptors, also known as GPCRs, are a kind of protein receptors that transfer signals to the inner part of cells when a certain kind of molecule is detected outside. In this thesis this kind of receptors ... -
Forecasting football results
(Universitat Politècnica de Catalunya, 2020-10-19)
Master thesis
Restricted access - confidentiality agreement -
Generative manifold learning for the exploration of partially labeled data
(Universitat Politècnica de Catalunya, 2009-10-01)
Doctoral thesis
Open AccessIn many real-world application problems, the availability of data labels for supervised learning is rather limited. Incompletely labeled datasets are common in many of the databases generated in some of the currently most ... -
Genome-wide investigation of genecancer associations using machine learning on biomedical data for the prediction of novel therapeutic targets
(Universitat Politècnica de Catalunya, 2019-07-05)
Master thesis
Restricted access - confidentiality agreement -
Investigating prognostic factors in sepsis using computational intelligence methods
(Universitat Politècnica de Catalunya, 2016-10)
Master thesis
Open AccessSepsis is a major challenge in medicine. It is in fact a traversal condition affecting people of all ages and is not respectful of lifestyle choices. There are many diseases in medicine whose definition is uncertain and ... -
Kernel-based manifold visualization of GPCR sequences
(Universitat Politècnica de Catalunya, 2011-06-22)
Master thesis
Open AccessG-Protein Coupled Receptors (GPCRs) are key players in cell- cell communication. They transduce a wide range of extracellular signals such as light, odors, hormones or neurotransmitters into ap- propriated cellular ...
