Publications by the researcher in collaboration with MARIA ESPERANZA GARCIA GONZALO (20)

2024

  1. Hybrid DE-Optimized GPR and NARX/SVR Models for Forecasting Gold Spot Prices: A Case Study of the Global Commodities Market

    Mathematics, Vol. 12, Núm. 7

  2. Time series analysis for COMEX platinum spot price forecasting using SVM, MARS, MLP, VARMA and ARIMA models: A case study

    Resources Policy, Vol. 95

2023

  1. A support vector regression model for time series forecasting of the COMEX copper spot price

    Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 775-784

  2. Method for the Detection of Functional Outliers Applied to Quality Monitoring Samples in the Vicinity of El Musel Seaport in the Metropolitan Area of Gijón (Northern Spain)

    Mathematics, Vol. 11, Núm. 12

2022

  1. Análisis de la bibliografía disponible para el tema de aritmética finita y teoría de errores de la asignatura de Computación Numérica del Grado en Ingeniería Informática del Software y recomendaciones para su uso

    Avances y desafíos para la transformación educativa

  2. Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques

    16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)

  3. Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines

    16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)

2021

  1. A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines

    Advances in Intelligent Systems and Computing

  2. Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression

    Advances in Intelligent Systems and Computing

2020

  1. A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study

    Journal of Computational and Applied Mathematics, Vol. 366

  2. A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology

    Mathematics, Vol. 8, Núm. 6

  3. Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model

    IJIMAI, Vol. 6, Núm. 4, pp. 39-48

  4. Detection of outliers in pollutant emissions from the Soto de Ribera coal-fired power plant using functional data analysis: a case study in northern Spain

    Environmental Science and Pollution Research, Vol. 27, Núm. 1, pp. 8-20

  5. Evolution and forecasting of PM10 concentration at the Port of Gijon (Spain)

    Scientific Reports, Vol. 10, Núm. 1

  6. Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques

    Journal of Computational and Applied Mathematics, Vol. 357, pp. 284-301

2018

  1. Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study

    Environmental Science and Pollution Research, Vol. 25, Núm. 23, pp. 22658-22671

  2. Estimation of PM10 concentration from air quality data in the vicinity of a major steelworks site in the metropolitan area of Avilés (Northern Spain) using machine learning techniques

    Stochastic Environmental Research and Risk Assessment, Vol. 32, Núm. 11, pp. 3287-3298

  3. PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

    Science of the Total Environment, Vol. 621, pp. 753-761

2015

  1. Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

    Reliability Engineering and System Safety, Vol. 138, pp. 219-231