A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI

Author:

Martín-Smith Pedro,Ortega Julio,Asensio-Cubero Javier,Gan John Q.ORCID,Ortiz Andrés

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference25 articles.

1. An application of support vector machine in bioinformatics: automated recognition of epileptiform patterns in EEG using SVM classifier designed by a perturbation method;Acir,2004

2. Multiresolution analysis over simple graphs for brain–computer interfaces;Asensio-Cubero;J. Neural Eng.,2013

3. Semi-supervised clustering by seeding;Basu,2002

4. A review of feature selection methods on synthetic data;Bolón-Canedo;Knowl. Inf. Syst.,2012

5. A coefficient of agreement for nominal scales;Cohen;Edu. Psychol. Meas.,1960

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