Publicaciones en colaboración con investigadores/as de Universidad de León (34)

2024

  1. Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

    Alexandria Engineering Journal, Vol. 86, pp. 144-156

2023

  1. 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. A New Algorithm for Multivariate Genome Wide Association Studies Based on Differential Evolution and Extreme Learning Machines

    Mathematics, Vol. 10, Núm. 7

  2. Erratum: Maneuver Optimization for Simultaneous Airspeed Calibration and Wind Estimation (Journal of Aerospace Engineering DOI: 10.1061/(ASCE)AS.1943-5525.0001399)

    Journal of Aerospace Engineering

  3. Maneuver Optimization for Simultaneous Airspeed Calibration and Wind Estimation

    Journal of Aerospace Engineering, Vol. 35, Núm. 2

2021

  1. A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression

    Neural Computing and Applications, Vol. 33, Núm. 12, pp. 6627-6640

  2. Gasvem: A new machine learning methodology for multi‐snp analysis of gwas data based on genetic algorithms and support vector machines

    Mathematics, Vol. 9, Núm. 6

  3. Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms

    Neurocomputing, Vol. 452, pp. 386-394

  4. Modelling energy performance using a new hybrid DE/MARS–based approach for fossil-fuel thermal power stations

    Environmental Science and Pollution Research, Vol. 28, Núm. 4, pp. 4417-4429

2020

  1. 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

  2. A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks

    Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1231-1238

  3. Directional Attenuation Relationship for Ground Vibrations Induced by Mine Tremors

    Journal of Mining Science, Vol. 56, Núm. 2, pp. 236-245

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

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

  5. Sustainable earthworks: Optimization with the ICOM method

    Energy Reports, Vol. 6, pp. 404-419

2019

  1. Evolutionary Algorithm for Pathways Detection in GWAS Studies

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  2. Evolutionary Algorithm for Pathways Detection in GWAS Studies

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

  3. Multivariate analysis to relate CTOD values with material properties in steel welded joints for the offshore wind power industry

    Energies, Vol. 12, Núm. 20

  4. Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques

    Neural Computing and Applications, Vol. 31, Núm. 12, pp. 8823-8836

2018

  1. A methodology for the detection of relevant single nucleotide polymorphism in prostate cancer by means of multivariate adaptive regression splines and backpropagation artificial neural networks

    Advances in Intelligent Systems and Computing

  2. A multiregressive approach for SNPs identification in prostate cancer

    Advances in Intelligent Systems and Computing