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  • Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
  • Computer Science, Medicine
  • Biomedical engineering online
  • 2016 (First Published: 1 July 2016)
  • BackgroundBrain-computer interfacing (BCI) applications based on the classification of electroencephalographic (EEG) signals require solving high-dimensional pattern classification problems with suchContinue Reading
  • Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
  • Computer Science
  • Neurocomputing
  • 2017 (First Published: 9 August 2017)
  • This paper proposes a supervised filter method for evolutionary multi-objective feature selection for classification problems in high-dimensional feature space, which is evaluated by comparison withContinue Reading
  • Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan Julián Merelo Guervós
  • Computer Science
  • EvoApplications
  • 2016 (First Published: 30 March 2016)
  • Large-scale multi-objective optimization problems with many decision variables have recently attracted the attention of researchers as many data mining applications involving high dimensionalContinue Reading