Automatic feature extraction using genetic programming: An application to epileptic EEG classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Guo201110425,
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author = "Ling Guo and Daniel Rivero and Julian Dorado and
Cristian R. Munteanu and Alejandro Pazos",
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title = "Automatic feature extraction using genetic
programming: An application to epileptic {EEG}
classification",
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journal = "Expert Systems with Applications",
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year = "2011",
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volume = "38",
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number = "8",
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pages = "10425--10436",
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month = aug,
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ISSN = "0957-4174",
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broken = "http://www.sciencedirect.com/science/article/B6V03-5265S7J-6/2/7bccfdf0fc39adebbc6851a1c6c408a3",
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DOI = "doi:10.1016/j.eswa.2011.02.118",
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keywords = "genetic algorithms, genetic programming, Feature
extraction, K-nearest neighbour classifier (KNN),
Discrete wavelet transform (DWT), Epilepsy, EEG
classification",
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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.",
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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