Publications (33)

2023

  1. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection

    Lecture Notes in Networks and Systems

2022

  1. Explainable machine learning for sleep apnea prediction

    Procedia Computer Science

  2. A novel approach to discover numerical association based on the coronavirus optimization algorithm

    Proceedings of the ACM Symposium on Applied Computing

2020

  1. Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance

    Artificial Intelligence in Medicine, Vol. 110

2019

  1. External clustering validity index based on chi-squared statistical test

    Information Sciences, Vol. 487, pp. 1-17

  2. Analysis of the evolution of the Spanish labour market through unsupervised learning

    IEEE Access, Vol. 7, pp. 121695-121708

2018

  1. Aproximación al índice externo de validación de clustering basado en chi cuadrado

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

  2. MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems

    Knowledge-Based Systems, Vol. 153, pp. 176-192

  3. An approach to validity indices for clustering techniques in Big Data

    Progress in Artificial Intelligence, Vol. 7, Núm. 2, pp. 81-94

2017

  1. Applications of Computational Intelligence in Time Series

    Computational Intelligence and Neuroscience

  2. 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

  3. Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources

    Information Fusion, Vol. 36, pp. 114-129

  4. A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation

    Journal of Biomedical Informatics, Vol. 72, pp. 33-44

2016

  1. Discovery of genes implied in cancer by genetic algorithms and association rules

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

  2. An approach to silhouette and dunn clustering indices applied to big data in spark

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

  3. A nearest neighbours-based algorithm for big time series data forecasting

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

  4. Obtaining optimal quality measures for quantitative association rules

    Neurocomputing, Vol. 176, pp. 36-47

  5. Improving a multi-objective evolutionary algorithm to discover quantitative association rules

    Knowledge and Information Systems, Vol. 49, Núm. 2, pp. 481-509

2015

  1. Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets

    Integrated Computer-Aided Engineering, Vol. 22, Núm. 1, pp. 21-39

2014

  1. Discovering gene association networks by multi-objective evolutionary quantitative association rules

    Journal of Computer and System Sciences