Publicaciones en las que colabora con Jorge García Gutiérrez (21)

2022

  1. Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation

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

2021

  1. Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance

    Neurocomputing, Vol. 449, pp. 229-244

2020

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

    Artificial Intelligence in Medicine, Vol. 110

  2. Asynchronous dual-pipeline deep learning framework for online data stream classification

    Integrated Computer-Aided Engineering, Vol. 27, Núm. 2, pp. 101-119

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

  3. A framework for evaluating land use and land cover classification using convolutional neural networks

    Remote Sensing, Vol. 11, Núm. 3

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

2011

  1. Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques

    Expert Systems with Applications, Vol. 38, Núm. 6, pp. 6805-6813

2010

  1. 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)