Automatic feature extraction using genetic programming: An application to epileptic EEG classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Guo201110425,

• author = "Ling Guo and Daniel Rivero and Julian Dorado and Cristian R. Munteanu and Alejandro Pazos",
• title = "Automatic feature extraction using genetic programming: An application to epileptic {EEG} classification",
• journal = "Expert Systems with Applications",
• year = "2011",
• volume = "38",
• number = "8",
• pages = "10425--10436",
• month = aug,
• ISSN = "0957-4174",
• broken = "http://www.sciencedirect.com/science/article/B6V03-5265S7J-6/2/7bccfdf0fc39adebbc6851a1c6c408a3",
• DOI = "doi:10.1016/j.eswa.2011.02.118",
• keywords = "genetic algorithms, genetic programming, Feature extraction, K-nearest neighbour classifier (KNN), Discrete wavelet transform (DWT), Epilepsy, EEG classification",
• abstract = "This paper applies genetic programming (GP) to perform automatic feature extraction from original feature database with the aim of improving the discriminatory performance of a classifier and reducing the input feature dimensionality at the same time. The tree structure of GP naturally represents the features, and a new function generated in this work automatically decides the number of the features extracted. In experiments on two common epileptic EEG detection problems, the classification accuracy on the GP-based features is significant higher than on the original features. Simultaneously, the dimension of the input features for the classifier is much smaller than that of the original features.",
• notes = "Department of Information Technologies and Communications, University of La Coruna, Campus Elvina, 15071 A Coruna, Spain",

}

Genetic Programming entries for Ling Guo Daniel Rivero Cebrian Julian Dorado Cristian R Munteanu Alejandro Pazos Sierra

Citations