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Listar por autor "Arteaga Moreno, Francisco Javier"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Arteaga Moreno, Francisco Javier"

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    Assessment of maximum likelihood PCA missing data imputation 
    Folch Fortuny, Abel; Arteaga Moreno, Francisco Javier; Ferrer, Alberto (Wiley, 2016-07)
    Maximum likelihood principal component analysis (MLPCA) was originally proposed to incorporate measurement error variance information in principal component analysis (PCA) models. MLPCA can be used to fit PCA models in the ...
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    Building covariance matrices with the desired structure 
    Arteaga Moreno, Francisco Javier; Ferrer, Alberto (Elsevier, 2013-08-15)
    [EN] The problem of building a covariance matrix by fixing their diagonal values (variances) and all or a subset of its eigenvalues has been solved in different ways in the literature. In this paper we propose an iterative ...
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    Cálculo del área de un polígono simple 
    Arteaga, Francisco (Universitat Politècnica de València, 2012-04-05)
    [EN] In the present paper we consider to determine the relative position between a point and a simple polygon in a plane. For this purpose we build a model of the polygon, which manipulation carries us, in a very natural ...
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    Chemometric Approaches for Systems Biology 
    Folch Fortuny, Abel (Universitat Politècnica de València, 2017-01-23)
    The present Ph.D. thesis is devoted to study, develop and apply approaches commonly used in chemometrics to the emerging field of systems biology. Existing procedures and new methods are applied to solve research and ...
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    How to Simulate Outliers with the Desired Properties 
    González-Cebrián, A.; Arteaga, Francisco; Folch-Fortuny, Abel; Ferrer, Alberto (Elsevier, 2021-05-15)
    [EN] Deviating multivariate observations are used typically to test the performance of outlier detection methods. Yet, the generation of outlying cases itself usually appears as a secondary methodological step in methods ...
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    Missing Data Imputation Toolbox for MATLAB 
    Folch Fortuny, Abel; Arteaga Moreno, Francisco Javier; Ferrer, Alberto (Elsevier, 2016-03-15)
    [EN] Here we introduce a graphical user-friendly interface to deal with missing values called Missing Data Imputation (MDI) Toolbox. This MATLAB toolbox allows imputing missing values, following missing completely at random ...
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    PCA model building with missing data: New proposals and a comparative study 
    Folch-Fortuny, Abel; ARTEAGA MORENO, FRANCISCO JAVIER; Ferrer Riquelme, Alberto José (Elsevier, 2015-08-15)
    [EN] This paper introduces new methods for building principal component analysis (PCA) models with missing data: projection to the model plane (PMP), known data regression (KDR), KDR with principal component regression ...
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    PLS model building with missing data: New algorithms and a comparative study 
    Folch-Fortuny, Abel; Arteaga, Francisco; Ferrer, Alberto (John Wiley & Sons, 2017-07)
    [EN] New algorithms to deal with missing values in predictive modelling are presented in this article. Specifically, 2 trimmed scores regression adaptations are proposed, one from principal component analysis model building ...