Publicaciones en colaboración con investigadores/as de Universidad de Sevilla (43)

2023

  1. Statistical and Deep Machine Learning Techniques to Forecast Cryptocurrency Volatility

    Lecture Notes in Networks and Systems

2022

  1. A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data

    Journal of Supercomputing, Vol. 78, Núm. 5, pp. 7428-7463

2021

  1. Extracting salient information from discarded features via attribute selection and pruning

    Applied Soft Computing, Vol. 101

2020

  1. 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. An empirical study on performance server analysis and URL phishing prevention to improve system management through machine learning

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

  2. Bargains in the diamond market? How to take advantage from online information

    Expert Systems

  3. Does the Order of Attributes Play an Important Role in Classification?

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

  4. Does the Order of Attributes Play an Important Role in Classification?

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

  5. Metaheuristic algorithm to train product and sigmoid neural network classifiers

    Expert Systems, Vol. 36, Núm. 3

  6. 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. Bare bones fireworks algorithm for medical image compression

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

  2. Data pre-processing to apply multiple imputation techniques: A case study on real-world census data

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

  3. Feature selection and interpretable feature transformation: A preliminary study on feature engineering for classification algorithms

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

  4. Featuring the attributes in supervised machine learning

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

  5. Preface

    Frontiers in Artificial Intelligence and Applications

  6. Preface

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

  7. Preface

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

2017

  1. Low dimensionality or same subsets as a result of feature selection: An in-depth roadmap

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

  2. Medium and high-dimensionality attribute selection in Bayes-type classifiers

    2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings

  3. Neural networks based on radial basis function in high dimension domains

    SYMCOMP 2017 - 3rd International Conference on Numerical and Symbolic Computation: Developments and Applications, Proceedings