@article{FogCarlosCastillo,
author = "C. Castillo-Bot{\'o}n and David Casillas-P{\'e}rez and Carlos Casanova-Mateo and S. Ghimire and E. Cerro-Prada and Pedro Antonio Guti{\'e}rrez and R.C. Deo and Sancho Salcedo-Sanz",
abstract = "Atmospheric low-visibility events are usually associated with fog formation. Extreme low-visibility events deeply affect the air and ground transportation, airports and motor-road facilities causing accidents and traffic problems every year. Machine Learning (ML) algorithms have been successfully applied to many fog formation and low-visibility prediction problems. The associated problem can be formulated either as a regression or as a classification task, which has an impact on the type of ML approach to be used and on the quality of the predictions obtained. In this paper we carry out a complete analysis of low-visibility events prediction problems, formulated as both regression and classification problems. We discuss the performance of a large number of ML approaches in each type of problem, and evaluate their performance under a common comparison framework. According to the obtained results, we will provide indications on what the most efficient formulation is to tackle low-visibility predictions and the best performing ML approaches for low-visibility events prediction.",
awards = "JCR(2022): 5.5 Position: 18/94 (Q1) Category: METEOROLOGY {\&} ATMOSPHERIC SCIENCES.",
comments = "JCR(2022): 5.5 Position: 18/94 (Q1) Category: METEOROLOGY {\&} ATMOSPHERIC SCIENCES.",
doi = "10.1016/j.atmosres.2022.106157",
issn = "0169-8095",
journal = "Atmospheric Research",
keywords = "Low-visibility events Orographic and hill-fogs Classification problems Regression problems Machine Learning algorithms",
month = "July",
note = "JCR(2022): 5.5 Position: 18/94 (Q1) Category: METEOROLOGY {\&} ATMOSPHERIC SCIENCES.",
pages = "106157",
title = "{M}achine learning regression and classification methods for fog events prediction",
url = "doi.org/10.1016/j.atmosres.2022.106157",
volume = "272",
year = "2022",
}