José A. Castellanos-Garzón

According to our database, José A. Castellanos-Garzón authored at least 18 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

An Intelligent System to Generate Chord Progressions from Colors with an Artificial Immune System.

María Navarro-Cáceres, José A. Castellanos-Garzón, Javier Bajo

New Gener. Comput., 2020

2019

An evolutionary framework for machine learning applied to medical data.

José A. Castellanos-Garzón, Ernesto Costa, José Luis Jaimes S., Juan M. Corchado

Knowl. Based Syst., 2019

Intelligent multi-agent system for water reduction in automotive irrigation processes.

Alfonso González-Briones, Yeray Mezquita Martín, José A. Castellanos-Garzón, Javier Prieto, Juan M. Corchado

Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

2018

A Framework for Knowledge Discovery from Wireless Sensor Networks in Rural Environments: A Crop Irrigation Systems Case Study.

Alfonso González-Briones, José A. Castellanos-Garzón, Yeray Mezquita Martín, Javier Prieto, Juan M. Corchado

Wirel. Commun. Mob. Comput., 2018

A data mining framework based on boundary-points for gene selection from DNA-microarrays: Pancreatic Ductal Adenocarcinoma as a case study.

Juan Ramos, José A. Castellanos-Garzón, Juan Francisco de Paz, Juan M. Corchado

Eng. Appl. Artif. Intell., 2018

A Genetic Programming Approach Applied to Feature Selection from Medical Data.

José A. Castellanos-Garzón, Juan Ramos, Yeray Mezquita Martín, Juan F. De Paz, Ernesto Costa

Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

A Data Mining Approach Applied to Wireless Sensor Neworks in Greenhouses.

José A. Castellanos-Garzón, Yeray Mezquita Martín, José Luis Jaimes S., Santiago M. López G.

Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017

A CBR framework with gradient boosting based feature selection for lung cancer subtype classification.

Juan Ramos, Daniel López Sánchez, José A. Castellanos-Garzón, Juan Francisco de Paz, Juan M. Corchado

Comput. Biol. Medicine, 2017

An Ensemble Approach for Gene Selection in Gene Expression Data.

José A. Castellanos-Garzón, Juan Ramos, Daniel López Sánchez, Juan Francisco de Paz

Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

2016

A Clustering-Based Method for Gene Selection to Classify Tissue Samples in Lung Cancer.

José A. Castellanos-Garzón, Juan Ramos, Alfonso González-Briones, Juan Francisco de Paz

Proceedings of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2016

2014

Intelligent business processes composition based on multi-agent systems.

José A. García Coria, José A. Castellanos-Garzón, Juan M. Corchado

Expert Syst. Appl., 2014

2013

An Evolutionary and Visual Framework for Clustering of DNA Microarray Data.

José A. Castellanos-Garzón, Fernando Díaz

J. Integr. Bioinform., 2013

A visual analytics framework for cluster analysis of DNA microarray data.

José A. Castellanos-Garzón, Carlos Armando García, Paulo Novais, Fernando Díaz

Expert Syst. Appl., 2013

An evolutionary computational model applied to cluster analysis of DNA microarray data.

José A. Castellanos-Garzón, Fernando Díaz

Expert Syst. Appl., 2013

A Clustering Framework Applied to DNA Microarray Data.

José A. Castellanos-Garzón, Fernando Díaz

Proceedings of the 7th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2013

2011

Analyzing Gene Expression Data on a 3D Scatter Plot.

Carlos Armando García, José A. Castellanos-Garzón, Carlos González Blanco

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

2009

An Evolutionary Hierarchical Clustering Method with a Visual Validation Tool.

José A. Castellanos-Garzón, Carlos Armando García, Luis Antonio Miguel Quintales

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008

Evolutionary Techniques for Hierarchical Clustering Applied to Microarray Data.

José A. Castellanos-Garzón, Luis Antonio Miguel Quintales

Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008