Jorge García-Gutiérrez

发表

Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data

H. Balzter, S. Ustin, S. Saatchi, 2017, Journal of geophysical research. Biogeosciences.

Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest

Jorge García-Gutiérrez, Juan Guerra-Hernández, Eduardo González-Ferreiro, 2016 .

Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities

Jorge García-Gutiérrez, Eduardo González-Ferreiro, David Miranda, 2013 .

A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation

Jorge García-Gutiérrez, Carlos A. López-Sánchez, Juan G. Álvarez-González, 2016 .

Remote mining: from clustering to DTM

F. Martínez-Álvarez, Jorge García-Gutiérrez, J. Riquelme, 2008 .

An approach to validity indices for clustering techniques in Big Data

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, María Martínez-Ballesteros, 2018, Progress in Artificial Intelligence.

An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, José María Luna-Romera, 2016, CAEPIA.

A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, María Martínez-Ballesteros, 2017, J. Biomed. Informatics.

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

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, María Martínez-Ballesteros, 2020, Artif. Intell. Medicine.

Gene-gene interaction based clustering method for microarray data

Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez, Norberto Díaz-Díaz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

External clustering validity index based on chi-squared statistical test

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, María Martínez-Ballesteros, 2019, Inf. Sci..

A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Manuel Carranza-García, 2019, Remote. Sens..

An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion

José Cristóbal Riquelme Santos, Daniel Mateos-García, Jorge García-Gutiérrez, 2015, Neurocomputing.

Evolutionary feature selection to estimate forest stand variables using LiDAR

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Eduardo González-Ferreiro, 2014, Int. J. Appl. Earth Obs. Geoinformation.

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

Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Francisco Martínez-Álvarez, 2015, Neurocomputing.

On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Jorge García-Gutiérrez, Pedro Lara-Benítez, Manuel Carranza-García, 2020, Remote. Sens..

An evolutionary voting for k-nearest neighbours

José Cristóbal Riquelme Santos, Daniel Mateos-García, Jorge García-Gutiérrez, 2016, Expert Syst. Appl..

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

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Luis Gonçalves-Seco, 2011, Expert Syst. Appl..

Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress

Jorge García-Gutiérrez, David Benavides, José A. Galindo, 2019, IEEE Access.

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

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Pedro Lara-Benítez, 2020, Integr. Comput. Aided Eng..

A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2012, HAIS.

RESDEC: Online Management Tool for Implementation Components Selection in Software Product Lines Using Recommender Systems

J. Galindo, David Benavides, Jorge García-Gutiérrez, 2019, SPLC.

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

José Cristóbal Riquelme Santos, Daniel Mateos-García, Jorge García-Gutiérrez, 2012, Neurocomputing.

Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Pedro Lara-Benítez, 2021, Neurocomputing.

A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2011, HAIS.

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

José Cristóbal Riquelme Santos, Daniel Mateos-García, Jorge García-Gutiérrez, 2017, Neurocomputing.

A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2010, HAIS.

A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2016, HAIS.

Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2014, HAIS.

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

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2012, Pattern Recognit. Lett..

Label Dependent Evolutionary Feature Weighting for Remote Sensing Data

José Cristóbal Riquelme Santos, Jorge García-Gutiérrez, Daniel Mateos-García, 2010, HAIS.

DECISION TREES ON LIDAR TO CLASSIFY LAND USES AND COVERS

Jorge García-Gutiérrez, Rua Campo Alegre, Luis Goncalves-Seco, 2009 .

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

Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos, 2012, Neurocomputing.