Publicaciones en las que colabora con Sancho Salcedo Sanz (17)

2022

  1. Analysis of Machine Learning Approaches’ Performance in Prediction Problems with Human Activity Patterns

    Mathematics, Vol. 10, Núm. 13

2019

  1. A study on the impact of easements in the deployment of wind farms near airport facilities

    Renewable Energy, Vol. 135, pp. 566-588

  2. Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods

    Global and Planetary Change, Vol. 178, pp. 15-34

2018

  1. Wind power field reconstruction from a reduced set of representative measuring points

    Applied Energy, Vol. 228, pp. 1111-1121

2017

  1. A review of computational intelligence algorithms in insurance applications

    Mathematical Research Summaries (Nova Science Publishers, Inc.), pp. 33-34

  2. Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems

    Applied Soft Computing Journal, Vol. 52, pp. 760-770

2016

  1. A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction

    2016 IEEE Congress on Evolutionary Computation, CEC 2016

  2. A review of classification problems and algorithms in renewable energy applications

    Energies, Vol. 9, Núm. 8

  3. Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images

    Coastal Engineering, Vol. 114, pp. 233-243

  4. Computational intelligence in wave energy: Comprehensive review and case study

    Renewable and Sustainable Energy Reviews, Vol. 58, pp. 1223-1246

2015

  1. A hybrid genetic algorithm-extreme learning machine approach for accurate significant wave height reconstruction

    Ocean Modelling, Vol. 92, pp. 115-123

  2. Energy flux range classification by using a dynamic window autoregressive model

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

  3. Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications

    Neurocomputing, Vol. 152, pp. 58-68

  4. Significant wave height and energy flux range forecast with machine learning classifiers

    Engineering Applications of Artificial Intelligence, Vol. 43, pp. 44-53

  5. Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface

    Ocean Engineering, Vol. 101, pp. 244-253

2014

  1. Soft-Computing: An innovative technological solution for urban traffic-related problems in modern cities

    Technological Forecasting and Social Change, Vol. 89, pp. 236-244

2013

  1. A review of computational intelligence algorithms in insurance applications

    Statistical and Soft Computing Approaches in Insurance Problems (Nova Science Publishers, Inc.), pp. 1-49