JUAN
RAMOS GONZÁLEZ
Ikertzailea 2014-2019 tartean
Juan Francisco de
Paz Santana
Catedrático de Universidad
Juan Francisco de Paz Santana-rekin lankidetzan egindako argitalpenak (11)
2019
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A genetic programming approach applied to feature selection from medical data
Advances in Intelligent Systems and Computing
2018
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A boundary-point approach applied to gene selection in gene expression data
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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A data mining framework based on boundary-points for gene selection from DNA-microarrays: Pancreatic Ductal Adenocarcinoma as a case study
Engineering Applications of Artificial Intelligence, Vol. 70, pp. 92-108
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An Ensemble Framework Coping with Instability in the Gene Selection Process
Interdisciplinary Sciences: Computational Life Sciences, Vol. 10, Núm. 1, pp. 12-23
2017
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An Agent-Based Clustering Approach for Gene Selection in Gene Expression Microarray
Interdisciplinary Sciences: Computational Life Sciences, Vol. 9, Núm. 1
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An ensemble approach for gene selection in gene expression data
Advances in Intelligent Systems and Computing
2016
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A clustering-based method for gene selection to classify tissue samples in lung cancer
Advances in Intelligent Systems and Computing
2015
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A drug identification system for intoxicated drivers based on a systematic review
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 4, Núm. 4, pp. 83-101
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Multi-agent System for Obtaining Relevant Genes in Expression Analysis between Young and Older Women with Triple Negative Breast Cancer
Journal of integrative bioinformatics, Vol. 12, Núm. 4, pp. 278
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Obtaining relevant genes by analysis of expression arrays with a multi-agent system
Advances in Intelligent Systems and Computing
2014
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Obtaining relevant genes by analysis of expression arrays with a multi-agent system
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 3, Núm. 3, pp. 35-42