Classification of Two-channel Signals by Means of Genetic Programming

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@InProceedings{Rivero:2015:GECCOcomp,
  author =       "Daniel Rivero and Enrique Fernandez-Blanco and 
                 Julian Dorado and Alejandro Pazos",
  title =        "Classification of Two-channel Signals by Means of
                 Genetic Programming",
  booktitle =    "GECCO 2015 Medical Applications of Genetic and
                 Evolutionary Computation (MedGEC'15) Workshop",
  year =         "2015",
  editor =       "Stephen L. Smith and Stefano Cagnoni and 
                 Robert M. Patton",
  isbn13 =       "978-1-4503-3488-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1319--1325",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739482.2768507",
  DOI =          "doi:10.1145/2739482.2768507",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  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",
  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