Classification of Two-channel Signals by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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