Publications (86)

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

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. Contadores inteligentes: ahorros potenciales para el consumidor

    Revista DYNA, Vol. 93, Núm. 3, pp. 244-244

  6. 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)