Publicaciones en las que colabora con José Cristóbal Riquelme Santos (139)

2021

  1. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    Advances in Intelligent Systems and Computing

  2. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  3. On the Performance of Deep Learning Models for Time Series Classification in Streaming

    Advances in Intelligent Systems and Computing

  4. On the Performance of Deep Learning Models for Time Series Classification in Streaming

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  5. Preface

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

2020

  1. Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

    Big data, Vol. 8, Núm. 4, pp. 308-322

  2. Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning

    Pattern Analysis and Applications, Vol. 23, Núm. 1, pp. 467-491

2019

  1. A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system

    IEEE Access, Vol. 7, pp. 120840-120856

  2. Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses

    Advances in Intelligent Systems and Computing

  3. Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems

    Neurocomputing, Vol. 353, pp. 28-44

2018

  1. A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information

    Environmental Modelling and Software, pp. 52-61

  2. Big data analytics for discovering electricity consumption patterns in smart cities

    Energies, Vol. 11, Núm. 3

  3. Data science and big data in energy forecasting

    Energies, Vol. 11, Núm. 11

  4. SmartFD: A real big data application for electrical fraud detection

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

2017

  1. Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems

    ADVANCES IN ELECTRIC POWER AND ENERGY SYSTEMS: Load and Price Forecasting (wiley), pp. 41-88

  2. Applications of Computational Intelligence in Time Series

    Computational Intelligence and Neuroscience

  3. Predicción de módulos defectuosos como un problema de optimización multiobjetivo

    Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017

  4. Predicción de módulos defectuosos como un problema de optimización multiobjetivo

    Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017

  5. Recent advances in energy time series forecasting

    Energies

2016

  1. Accuracy increase on evolving product unit neural networks via feature subset selection

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