Publications by the researcher in collaboration with César Hervás Martínez (32)

2024

  1. Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

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

  2. Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm

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

2023

  1. One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques

    Atmospheric Research, Vol. 284

2020

  1. Evolutionary artificial neural networks for accurate solar radiation prediction

    Energy, Vol. 210

  2. Multi-task learning for the prediction of wind power ramp events with deep neural networks

    Neural Networks, Vol. 123, pp. 401-411

  3. Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

    Neural Processing Letters, Vol. 52, Núm. 1, pp. 57-74

  4. Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

    Atmospheric Research, Vol. 236

  5. Prediction of convective clouds formation using evolutionary neural computation techniques

    Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13917-13929

2019

  1. Dynamical memetization in coral reef optimization algorithms for optimal time series approximation

    Progress in Artificial Intelligence, Vol. 8, Núm. 2, pp. 253-262

2018

  1. A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series

    Applied Soft Computing Journal, Vol. 63, pp. 139-153

  2. Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  3. An empirical validation of a new memetic CRO algorithm for the approximation of time series

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

  4. An empirical validation of a new memetic CRO algorithm for the approximation of time series: abstract

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Efficient fog prediction with multi-objective evolutionary neural networks

    Applied Soft Computing Journal, Vol. 70, pp. 347-358

  6. Predicción ordinal de rampas de viento usando "Echo State Networks" de complejidad reducida

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  7. Prediction of low-visibility events due to fog using ordinal classification

    Atmospheric Research, Vol. 214, pp. 64-73

  8. Wind power ramp events ordinal prediction using minimum complexity echo state networks

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

2017

  1. A coral reef optimization algorithm for wave height time series segmentation problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 673-684

  2. Combining reservoir computing and over-sampling for ordinal wind power ramp prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 708-719

  3. Robust estimation of wind power ramp events with reservoir computing

    Renewable Energy, Vol. 111, pp. 428-437