Jorge García Gutiérrez
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Citado por
A framework for evaluating land use and land cover classification using convolutional neural networks
M Carranza-García, J García-Gutiérrez, JC Riquelme
Remote Sensing 11 (3), 274, 2019
On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data
M Carranza-García, J Torres-Mateo, P Lara-Benítez, J García-Gutiérrez
Remote Sensing 13 (1), 89, 2020
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme
Neurocomputing 167, 24-31, 2015
A comparison of machine learning techniques applied to Landsat-5 TM spectral data for biomass estimation
PM López-Serrano, CA López-Sánchez, JG Álvarez-González, ...
Canadian Journal of Remote Sensing 42 (6), 690-705, 2016
Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data
M Garcia, S Saatchi, A Casas, A Koltunov, S Ustin, C Ramirez, ...
Journal of Geophysical Research: Biogeosciences 122 (2), 340-353, 2017
Asynchronous dual-pipeline deep learning framework for online data stream classification
P Lara-Benítez, M Carranza-García, J García-Gutiérrez, JC Riquelme
Integrated Computer-Aided Engineering 27 (2), 101-119, 2020
Selection of software product line implementation components using recommender systems: An application to wordpress
J Rodas-Silva, JA Galindo, J García-Gutiérrez, D Benavides
IEEE Access 7, 69226-69245, 2019
External clustering validity index based on chi-squared statistical test
JM Luna-Romera, M Martínez-Ballesteros, J García-Gutiérrez, ...
Information sciences 487, 1-17, 2019
Evolutionary feature selection to estimate forest stand variables using LiDAR
J Garcia-Gutierrez, E Gonzalez-Ferreiro, JC Riquelme-Santos, D Miranda, ...
International Journal of Applied Earth Observation and Geoinformation 26 …, 2014
Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
J Guerra-Hernández, EB Görgens, J García-Gutiérrez, LCE Rodriguez, ...
European Journal of Remote Sensing 49 (1), 185-204, 2016
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
M Carranza-García, P Lara-Benítez, J García-Gutiérrez, JC Riquelme
Neurocomputing 449, 229-244, 2021
Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities
EM González-Ferreiro, D Miranda, L Barreiro-Fernández, S Bujan, ...
Forest Systems 22 (3), 510-525, 2013
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
L Macías-García, M Martínez-Ballesteros, JM Luna-Romera, ...
Artificial Intelligence in Medicine 110, 101976, 2020
An approach to validity indices for clustering techniques in big data
JM Luna-Romera, J García-Gutiérrez, M Martínez-Ballesteros, ...
Progress in Artificial Intelligence 7, 81-94, 2018
STATService: Herramienta de análisis estadístico como soporte para la investigación con Metaheurísticas
JA Parejo, J García, A Ruiz-Cortés, JC Riquelme
MAEB, 2012
An approach to silhouette and dunn clustering indices applied to big data in spark
JM Luna-Romera, M del Mar Martinez-Ballesteros, J Garcia-Gutierrez, ...
Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
J García-Gutiérrez, D Mateos-García, M Garcia, JC Riquelme-Santos
Neurocomputing 163, 17-24, 2015
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
L Macías-García, JM Luna-Romera, J García-Gutiérrez, ...
Journal of biomedical informatics 72, 33-44, 2017
On the evolutionary optimization of k-NN by label-dependent feature weighting
D Mateos-García, J García-Gutiérrez, JC Riquelme-Santos
Pattern Recognition Letters 33 (16), 2232-2238, 2012
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
D Mateos-García, J García-Gutiérrez, JC Riquelme-Santos
Neurocomputing 326, 54-60, 2019
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Artículos 1–20