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Listar por palabra clave "Variable selection"

Mostrando ítems 1-9 de 9

A voltammetric electronic tongue for the quantitative analysis of quality parameters in wastewater

Martínez-Bisbal, M.Carmen; Loeff, Edwin; Olivas, Estela; Carbó-Mestre, Noèlia; Garcia Castillo, F. Javier; López-Carrero, Javier; Tormos, Isabel; Tejadillos, Francisco José; Berlanga, José Guillermo; Martínez-Máñez, Ramón; Alcañiz Fillol, Miguel; Soto Camino, Juan (John Wiley & Sons, 2017)

[EN] The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in influent wastewater from a wastewater treatment plant (WWTP) that treats domestic and industrial wastewater is proposed. ...
Compositional Data Analysis of Microbiome and Any-Omics Datasets: A Validation of the Additive Logratio Transformation

Greenacre, Michael; Martínez-Álvaro, Marina; Blasco Mateu, Agustín (Frontiers Media SA, 2021-10-11)

[EN] Microbiome and omics datasets are, by their intrinsic biological nature, of high dimensionality, characterized by counts of large numbers of components (microbial genes, operational taxonomic units, RNA transcripts, ...
Evaluation of the effect of chance correlations on variable selection using Partial Least Squares -Discriminant Analysis

Kuligowski, Julia; Pérez Guaita, David; Escobar, Javier; Guardia, Miguel de la; Vento, Máximo; Ferrer Riquelme, Alberto José; Quintás, Guillermo (Elsevier, 2013-11-15)

Variable subset selection is often mandatory in high throughput metabolomics and proteomics. However, depending on the variable to sample ratio there is a significant susceptibility of variable selection towards chance ...
Innovation project to validate and select items for assessing transversal competencies in higher education

Prats-Montalbán, José Manuel; Alarcón Valero, Faustino; Alemany Díaz, María del Mar; Boza, Andres; Gordo Monzó, Maria Luz; Fernández-Diego, Marta; Ruiz Font, Leonor; Cuenca, L. (IATED, International Association of Technology, Education and Development, 2016)

[EN] The educational improvement innovation project is focused on determining how to evaluate any competence and which are their main related items that should be used for that purpose. Currently, the selection of items ...
Rendimiento de modelos machine learning en la identificación de especies microbianas causales

Duro Vizcaíno, Alba (Universitat Politècnica de València, 2024-07-21)

[ES] El estudio del microbioma ha generado interés en el campo de la mejora genética debido a su influencia sobre caracteres clave en producción animal. Es por ello que es muy importante estudiar cómo el microbioma de los ...
Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)

Muñoz Mas, Rafael; Vezza, Paolo; Alcaraz-Hernández, Juan Diego; Martinez-Capel, Francisco (Elsevier, 2016-12-24)

The impacts of invasive species are recognised as a major threat to global freshwater biodiversity. The risk of invasion (probability of presence) of two avowed invasive species, the northern pike (Esox Lucius, L.) and ...
Sparse N-way Partial Least Squares by L1-penalization

Hervás-Marín, David; Prats-Montalbán, José Manuel; Garcia-Cañaveras, J.C.; Lahoz Rodríguez, Agustín Gerardo; Ferrer, Alberto (Elsevier, 2019)

[EN] N-PLS, as the natural extension of PLS to N-way structures, tries to maximize the covariance between an X and a Y N-way data arrays. It provides a useful framework for fitting prediction models to N-way data. However, ...
Variable Selection for Multifactorial Genomic Data

Tarazona Campos, Sonia; PRADO-LÓPEZ, Sonia; Dopazo, Joaquín; Ferrer Riquelme, Alberto José; CONESA, A. (Elsevier, 2012-01-15)

[EN] Dimension reduction techniques are used to explore genomic data. Due to the large number of variables (genes) included in this kind of studies, variable selection methods are needed to identify the most responsive genes ...
VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

Folch Fortuny, Abel; Prats-Montalbán, José Manuel; Cubero-García, Sergio; Blasco Ivars, José; Ferrer, Alberto (Elsevier, 2016-08-15)

[EN] In this work an N-way partial least squares regression discriminant analysis (NPLS-DA) methodology is developed to detect symptoms of disease caused by Penicillium digitatum in citrus fruits (green mould) using ...