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Jorge García-Gutiérrez
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2020 – today
- 2022
- [c14]Tomás Cabello-López, Manuel Cañizares-Juan, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. HAIS 2022: 133-140 - 2021
- [j18]Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing 449: 229-244 (2021) - [j17]Manuel Carranza-García, Jesús Torres-Mateo, Pedro Lara-Benítez, Jorge García-Gutiérrez:
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data. Remote. Sens. 13(1): 89 (2021) - [i1]Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance. CoRR abs/2104.03888 (2021) - 2020
- [j16]Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José Manuel García-Heredia, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. Artif. Intell. Medicine 110: 101976 (2020) - [j15]Pedro Lara-Benítez, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
Asynchronous dual-pipeline deep learning framework for online data stream classification. Integr. Comput. Aided Eng. 27(2): 101-119 (2020)
2010 – 2019
- 2019
- [j14]Jorge Rodas-Silva, José Angel Galindo, Jorge García-Gutiérrez, David Benavides:
Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress. IEEE Access 7: 69226-69245 (2019) - [j13]Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule. Neurocomputing 326-327: 54-60 (2019) - [j12]José María Luna-Romera, María Martínez-Ballesteros, Jorge García-Gutiérrez, José C. Riquelme:
External clustering validity index based on chi-squared statistical test. Inf. Sci. 487: 1-17 (2019) - [j11]Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote. Sens. 11(3): 274 (2019) - [c13]Jorge Rodas-Silva, José Angel Galindo, Jorge García-Gutiérrez, David Benavides:
RESDEC: online management tool for implementation components selection in software product lines using recommender systems. SPLC (B) 2019: 63:1-63:4 - 2018
- [j10]José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos:
An approach to validity indices for clustering techniques in Big Data. Prog. Artif. Intell. 7(2): 81-94 (2018) - 2017
- [j9]Laura Macías-García, José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos, Ricardo González-Cámpora:
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation. J. Biomed. Informatics 72: 33-44 (2017) - 2016
- [j8]Jorge García-Gutiérrez:
Improving models for environmental applications of LiDAR: Novel approaches based on soft computing. AI Commun. 29(1): 213-214 (2016) - [j7]Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
An evolutionary voting for k-nearest neighbours. Expert Syst. Appl. 43: 9-14 (2016) - [c12]José María Luna-Romera, María del Mar Martínez-Ballesteros, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. CAEPIA 2016: 160-169 - [c11]Jorge García-Gutiérrez, Eduardo González-Ferreiro, Daniel Mateos-García, José Cristóbal Riquelme Santos:
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. HAIS 2016: 588-596 - 2015
- [j6]Jorge García-Gutiérrez, Daniel Mateos-García, Mariano García, José Cristóbal Riquelme Santos:
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion. Neurocomputing 163: 17-24 (2015) - [j5]Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables. Neurocomputing 167: 24-31 (2015) - 2014
- [j4]Jorge García-Gutiérrez, Eduardo González-Ferreiro, José Cristóbal Riquelme Santos, David Miranda, Ulises Diéguez-Aranda, Rafael M. Navarro-Cerrillo:
Evolutionary feature selection to estimate forest stand variables using LiDAR. Int. J. Appl. Earth Obs. Geoinformation 26: 119-131 (2014) - [c10]Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos:
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach. HAIS 2014: 296-305 - 2013
- [c9]Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study. SOCO-CISIS-ICEUTE 2013: 249-258 - 2012
- [j3]Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos:
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion. Neurocomputing 75(1): 115-122 (2012) - [j2]Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
On the evolutionary optimization of k-NN by label-dependent feature weighting. Pattern Recognit. Lett. 33(16): 2232-2238 (2012) - [c8]Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos:
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion. HAIS (2) 2012: 455-466 - 2011
- [j1]Jorge García-Gutiérrez, Luis Gonçalves-Seco, José Cristóbal Riquelme Santos:
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques. Expert Syst. Appl. 38(6): 6805-6813 (2011) - [c7]Jorge García-Gutiérrez, Eduardo González-Ferreiro, Daniel Mateos-García, José Cristóbal Riquelme Santos, David Miranda:
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study. HAIS (2) 2011: 311-318 - [c6]Norberto Díaz-Díaz, Francisco Gómez-Vela, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez:
Gene-gene interaction based clustering method for microarray data. ISDA 2011: 1067-1073 - 2010
- [c5]Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data. HAIS (2) 2010: 272-279 - [c4]Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos:
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification. HAIS (2) 2010: 493-500 - [c3]Jorge García-Gutiérrez, Francisco Martínez-Álvarez, José C. Riquelme:
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps. IEA/AIE (1) 2010: 378-387
2000 – 2009
- 2007
- [c2]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez:
Biclusters Evaluation Based on Shifting and Scaling Patterns. IDEAL 2007: 840-849 - [c1]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jorge García-Gutiérrez:
A Deterministic Model to Infer Gene Networks from Microarray Data. IDEAL 2007: 850-859
Coauthor Index
aka: José C. Riquelme
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