Publications dans lesquelles il/elle collabore avec Jorge García Gutiérrez (16)

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. 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. 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. Contadores inteligentes: ahorros potenciales para el consumidor

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

  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. 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)

  2. An evolutionary voting for k-nearest neighbours

    Expert Systems with Applications, Vol. 43, pp. 9-14

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

2014

  1. Improving the k-nearest neighbour rule by an evolutionary voting approach

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

2012

  1. A non-parametric approach for accurate contextual classification of LIDAR and imagery data fusion

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

  2. On the evolutionary optimization of k-NN by label-dependent feature weighting

    Pattern Recognition Letters, Vol. 33, Núm. 16, pp. 2232-2238

  3. EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion

    Neurocomputing, Vol. 75, Núm. 1, pp. 115-122

2010

  1. Label dependent evolutionary feature weighting for remote sensing data

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

  2. A SVM and k-NN restricted stacking to improve land use and land cover classification

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