Publications in collaboration with researchers from Universidad de Sevilla (52)

2021

  1. Preface

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

  2. 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

  3. 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

  4. OCEAn: Ordinal classification with an ensemble approach

    Information Sciences, Vol. 580, pp. 221-242

  5. A data mining based clinical decision support system for survival in lung cancer

    Reports of Practical Oncology and Radiotherapy, Vol. 26, Núm. 6, pp. 839-848

2020

  1. Creation of Synthetic Data with Conditional Generative Adversarial Networks

    Advances in Intelligent Systems and Computing

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

    Artificial Intelligence in Medicine, Vol. 110

2019

  1. On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule

    Neurocomputing, Vol. 326-327, pp. 54-60

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

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

2018

  1. Competición vídeo: ¿cómo puedo saber si el resultado de un clustering es lo suficientemente bueno?

    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. 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

  3. Análisis Big Data para la respuesta a la demanda en el mercado eléctrico

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

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

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

  5. 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. 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)

  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. 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)

2015

  1. An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion

    Neurocomputing, Vol. 163, pp. 17-24