Publikationen, an denen er mitarbeitet Jorge García Gutiérrez (14)

2023

  1. Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level

    Applied Energy, Vol. 350

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

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

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

    Remote Sensing, Vol. 11, Núm. 3

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

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

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

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

2018

  1. An approach to validity indices for clustering techniques in Big Data

    Progress in Artificial Intelligence, Vol. 7, Núm. 2, pp. 81-94

  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. Contadores inteligentes: ahorros potenciales para el consumidor

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

2015

  1. A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables

    Neurocomputing, Vol. 167, pp. 24-31

2014

  1. A comparative study of machine learning regression methods on LiDAR data: A case study

    Advances in Intelligent Systems and Computing

2010

  1. Using remote data mining on LIDAR and imagery fusion data to develop land cover maps

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