Publicaciones en las que colabora con José Antonio Castellanos Garzón (14)

2020

  1. Determining the maximum length of logical rules in a classifier and visual comparison of results

    MethodsX, Vol. 7

2019

  1. A genetic programming approach applied to feature selection from medical data

    Advances in Intelligent Systems and Computing

  2. A multi-agent system framework for autonomous crop irrigation

    2nd International Conference on Computer Applications and Information Security, ICCAIS 2019

  3. An evolutionary framework for machine learning applied to medical data

    Knowledge-Based Systems, Vol. 185

  4. Intelligent multi-agent system for water reduction in automotive irrigation processes

    Procedia Computer Science

2018

  1. A boundary-point approach applied to gene selection in gene expression data

    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. A data mining framework based on boundary-points for gene selection from DNA-microarrays: Pancreatic Ductal Adenocarcinoma as a case study

    Engineering Applications of Artificial Intelligence, Vol. 70, pp. 92-108

  3. A framework for knowledge discovery from wireless sensor networks in rural environments: A crop irrigation systems case study

    Wireless Communications and Mobile Computing, Vol. 2018

  4. An Ensemble Framework Coping with Instability in the Gene Selection Process

    Interdisciplinary Sciences: Computational Life Sciences, Vol. 10, Núm. 1, pp. 12-23

2017

  1. A CBR framework with gradient boosting based feature selection for lung cancer subtype classification

    Computers in Biology and Medicine, Vol. 86, pp. 98-106

  2. An Agent-Based Clustering Approach for Gene Selection in Gene Expression Microarray

    Interdisciplinary Sciences: Computational Life Sciences, Vol. 9, Núm. 1

  3. An ensemble approach for gene selection in gene expression data

    Advances in Intelligent Systems and Computing

2016

  1. A clustering-based method for gene selection to classify tissue samples in lung cancer

    Advances in Intelligent Systems and Computing

2014

  1. Intelligent business processes composition based on multi-agent systems

    Expert Systems with Applications, Vol. 41, Núm. 4 PART 1, pp. 1189-1205