Juan Enrique Sánchez Lasheras

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 5

Top Topics

Hybrid Algorithm

Top Venues

SOCO-CISIS-ICEUTE

Neural Comput. Appl.

J. Exp. Theor. Artif. Intell.

Publications

Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño-Vinyals, Camilo Palazuelos, Dolores Salas, Vicente Martín Sánchez, Francisco Javier de Cos Juez
Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms. Neurocomputing 452 (2021)
Juan Enrique Sánchez Lasheras, Carmen González-Donquiles, Paulino José García Nieto, José Juan Jiménez Moleon, Dolores Salas-Trejo, Sergio Luis Suárez Gómez, Antonio J. Molina de la Torre, Joaquín González-Nuevo, Laura Bonavera, Jorge Carballido-Landeira, Francisco Javier de Cos Juez
A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks. Neural Comput. Appl. 32 (5) (2020)
Juan Enrique Sánchez Lasheras, Sergio Luis Suárez Gómez, Jesús Daniel Santos Rodríguez, Gemma Castaño-Vinyals, Beatriz Pérez-Gómez, Adonina Tardón
A multivariate regression approach for identification of SNPs importance in prostate cancer. J. Exp. Theor. Artif. Intell. 31 (6) (2019)
Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño Vynals, Beatriz Pérez-Gómez, Camilo Palazuelos, Dolors Sala, Francisco Javier de Cos Juez
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms. HAIS (2018)
Juan Enrique Sánchez Lasheras, Adonina Tardón, Guillermo González Tardón, Sergio Luis Suárez Gómez, Vicente Martín Sánchez, Carmen González-Donquiles, Francisco Javier de Cos Juez
A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks. SOCO-CISIS-ICEUTE (2017)