Classification of Two-channel Signals by Means of Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Rivero:2015:GECCOcomp,
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author = "Daniel Rivero and Enrique Fernandez-Blanco and
Julian Dorado and Alejandro Pazos",
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title = "Classification of Two-channel Signals by Means of
Genetic Programming",
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booktitle = "GECCO 2015 Medical Applications of Genetic and
Evolutionary Computation (MedGEC'15) Workshop",
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year = "2015",
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editor = "Stephen L. Smith and Stefano Cagnoni and
Robert M. Patton",
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isbn13 = "978-1-4503-3488-4",
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keywords = "genetic algorithms, genetic programming",
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pages = "1319--1325",
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month = "11-15 " # jul,
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organisation = "SIGEVO",
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address = "Madrid, Spain",
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URL = "http://doi.acm.org/10.1145/2739482.2768507",
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DOI = "doi:10.1145/2739482.2768507",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Traditionally, signal classification is a process in
which previous knowledge of the signals is needed.
Human experts decide which features are extracted from
the signals, and used as inputs to the classification
system. This requirement can make significant unknown
information of the signal be missed by the experts and
not be included in the features. This paper proposes a
new method that automatically analyses the signals and
extracts the features without any human participation.
Therefore, there is no need of previous knowledge about
the signals to be classified. The proposed method is
based on Genetic Programming and, in order to test this
method, it has been applied to a well-known EEG
database related to epilepsy, a disease suffered by
millions of people. As the results section shows, high
accuracies in classification are obtained",
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notes = "Also known as \cite{2768507} Distributed at
GECCO-2015.",
- }
Genetic Programming entries for
Daniel Rivero Cebrian
Enrique Fernandez-Blanco
Julian Dorado
Alejandro Pazos Sierra
Citations