A Deterministic Model to Infer Gene Networks from Microarray Data. - Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz; Norberto Díaz-Díaz; Domingo S. Rodríguez-Baena; Jorge García-Gutiérrez (IDEAL, 2007)

Biclusters Evaluation Based on Shifting and Scaling Patterns. - Juan A. Nepomuceno; Alicia Troncoso Lora; Jesús S. Aguilar-Ruiz; Jorge García-Gutiérrez (IDEAL, 2007)

A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS (2), 2010)

Label Dependent Evolutionary Feature Weighting for Remote Sensing Data. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (HAIS (2), 2010)

Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps. - Jorge García-Gutiérrez; Francisco Martínez-Álvarez; José C. Riquelme (IEA/AIE (1), 2010)

A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study. - Jorge García-Gutiérrez; Eduardo González-Ferreiro; Daniel Mateos-García; José Cristóbal Riquelme Santos; David Miranda (HAIS (2), 2011)

Gene-gene interaction based clustering method for microarray data. - Norberto Díaz-Díaz; Francisco Gómez-Vela; Jesús S. Aguilar-Ruiz; Jorge García-Gutiérrez (ISDA, 2011)

Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques. - Jorge García-Gutiérrez; Luis Gonçalves-Seco; José Cristóbal Riquelme Santos (Expert Syst. Appl., 2011)

A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS (2), 2012)

EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (Neurocomputing, 2012)

On the evolutionary optimization of k-NN by label-dependent feature weighting. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Pattern Recognit. Lett., 2012)

A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study. - Jorge García-Gutiérrez; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (SOCO-CISIS-ICEUTE, 2013)

Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS, 2014)

Evolutionary feature selection to estimate forest stand variables using LiDAR. - Jorge García-Gutiérrez; Eduardo González-Ferreiro; José Cristóbal Riquelme Santos; David Miranda; Ulises Diéguez-Aranda; Rafael M. Navarro-Cerrillo (Int. J. Appl. Earth Obs. Geoinformation, 2014)

An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion. - Jorge García-Gutiérrez; Daniel Mateos-García; Mariano García; José Cristóbal Riquelme Santos (Neurocomputing, 2015)

A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables. - Jorge García-Gutiérrez; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (Neurocomputing, 2015)

An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. - José María Luna-Romera; María del Mar Martínez-Ballesteros; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (CAEPIA, 2016)

A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. - Jorge García-Gutiérrez; Eduardo González-Ferreiro; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS, 2016)

Improving models for environmental applications of LiDAR: Novel approaches based on soft computing. - Jorge García-Gutiérrez (AI Commun., 2016)

An evolutionary voting for k-nearest neighbours. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Expert Syst. Appl., 2016)

A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation. - Laura Macías-García; José María Luna-Romera; Jorge García-Gutiérrez; María Martínez-Ballesteros; José Cristóbal Riquelme Santos; Ricardo González-Cámpora (J. Biomed. Informatics, 2017)

An approach to validity indices for clustering techniques in Big Data. - José María Luna-Romera; Jorge García-Gutiérrez; María Martínez-Ballesteros; José Cristóbal Riquelme Santos (Prog. Artif. Intell., 2018)

RESDEC: online management tool for implementation components selection in software product lines using recommender systems. - Jorge Rodas-Silva; José Angel Galindo; Jorge García-Gutiérrez; David Benavides 001 (SPLC (B), 2019)

Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress. - Jorge Rodas-Silva; José Angel Galindo; Jorge García-Gutiérrez; David Benavides 001 (IEEE Access, 2019)

On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Neurocomputing, 2019)

External clustering validity index based on chi-squared statistical test. - José María Luna-Romera; María Martínez-Ballesteros; Jorge García-Gutiérrez; José C. Riquelme (Inf. Sci., 2019)

A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. - Manuel Carranza-García; Jorge García-Gutiérrez; José C. Riquelme (Remote. Sens., 2019)

Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. - Laura Macías-García; María Martínez-Ballesteros; José María Luna-Romera; José Manuel García-Heredia; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Artif. Intell. Medicine, 2020)

Asynchronous dual-pipeline deep learning framework for online data stream classification. - Pedro Lara-Benítez; Manuel Carranza-García; Jorge García-Gutiérrez; José C. Riquelme (Integr. Comput. Aided Eng., 2020)

Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. - Manuel Carranza-García; Pedro Lara-Benítez; Jorge García-Gutiérrez; José C. Riquelme (Neurocomputing, 2021)

On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data. - Manuel Carranza-García; Jesús Torres-Mateo; Pedro Lara-Benítez; Jorge García-Gutiérrez (Remote. Sens., 2021)

Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. - Tomás Cabello-López; Manuel Cañizares-Juan; Manuel Carranza-García; Jorge García-Gutiérrez; José C. Riquelme (HAIS, 2022)