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Tomás R. Cotos-Yáñez

Researcher at University of Vigo

Publications -  17
Citations -  260

Tomás R. Cotos-Yáñez is an academic researcher from University of Vigo. The author has contributed to research in topics: Goodness of fit & Nonparametric statistics. The author has an hindex of 6, co-authored 17 publications receiving 191 citations. Previous affiliations of Tomás R. Cotos-Yáñez include Instituto Politécnico Nacional.

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Geographically Weighted Principal Components Analysis to assess diffuse pollution sources of soil heavy metal: Application to rough mountain areas in Northwest Spain

TL;DR: In this article, the spatial distribution of the concentrations of soil heavy metal and relationship with natural or anthropogenic origin was analyzed in the Principality of Asturias (mountain region of NW of Spain).
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A new semantic-based feature selection method for spam filtering

TL;DR: This study introduces a new feature selection method able to take advantage of a semantic ontology to group words into topics and use them to build feature vectors, and shows the suitability and additional benefits of topic-driven methods to develop and deploy high-performance spam filters.
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Short-term prediction of Betula airborne pollen concentration in Vigo (NW Spain) using logistic additive models and partially linear models

TL;DR: Two ways of quantifying the prediction of pollen concentration are analyzed: first by means of a generalized additive regression model with the object of predicting whether the series of interest exceeds a certain threshold; second using a partially linear model to obtain specific prediction values for pollen grains.
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Spatial heterogeneity in Spain for senior travel behavior

TL;DR: In this article, the technique of geographically weighted principal component analysis (GWPCA) is applied in a novel way for the sector, showing different behavior patterns according to area of origin.
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Prediction of SO2 pollution incidents near a power station using partially linear models and an historical matrix of predictor‐response vectors

TL;DR: In this article, atmospheric SO2 concentrations at sampling stations near the fossil fuel fired power station at As Pontes (La Coruna, Spain) were predicted using a model for the corresponding time series consisting of a self-explicative term and a linear combination of exogenous variables.