Publicaciones en las que colabora con FERNANDO SANCHEZ LASHERAS (35)

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

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)

  7. Predicting benzene concentration using machine learning and time series algorithms

    Mathematics, Vol. 8, Núm. 12, pp. 1-21

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. A hybrid algorithm for the assessment of the influence of risk factors in the development of upper limb musculoskeletal disorders

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

  2. 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

  3. 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

  4. 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. A hybrid PCA-CART-MARS-based prognostic approach of the remaining useful life for aircraft engines

    Sensors (Switzerland), Vol. 15, Núm. 3, pp. 7062-7083

  2. 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

2014

  1. Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process

    Applied Mathematics and Computation, Vol. 227, pp. 164-170