Combining objective response detectors using genetic programming

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

@InProceedings{Felix:2019:MEDICON,

• author = "Leonardo Bonato Felix and Quenaz Bezerra Soares and Antonio Mauricio Ferreira Leite {Miranda de Sa} and David Martin Simpson",
• title = "Combining objective response detectors using genetic programming",
• booktitle = "XV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019",
• year = "2019",
• editor = "Jorge Henriques and Nuno Neves and Paulo {de Carvalho}",
• volume = "76",
• pages = "83--92",
• series = "IFMBE Proceedings",
• address = "Coimbra, Portugal",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-030-31635-8",
• URL = "https://eprints.soton.ac.uk/437818/",
• broken = "https://eprints.soton.ac.uk/437818/1/Combining_objective_response_detectors_using_genetic_programming_VF.pdf",
• DOI = "doi:10.1007/978-3-030-31635-8_10",
• abstract = "Many Objective Response Detectors (ORD) have been proposed based on ratios extracted from statistical methods. This work proposes a new approach to automatically generate ORD techniques, based on the combination of the ex-isting ones by genetic programming. In this first study of this kind, the best ORD functions obtained with this approach were about 4percent more sensitive than the best original ORD. It is concluded that genetic programming applied to create ORD functions has a potential to find non-obvious functions with better performances than established alternatives",
• bibsource = "OAI-PMH server at eprints.soton.ac.uk",
• contributor = "Jorge Henriques and Nuno Neves and Paulo de Carvalho",
• format = "text",
• language = "en; English",
• oai = "oai:eprints.soton.ac.uk:437818",
• type = "Conference or Workshop Item; NonPeerReviewed",

}

Genetic Programming entries for Leonardo Bonato Felix Quenaz Bezerra Soares Antonio Mauricio Ferreira Leite Miranda de Sa David Martin Simpson

Citations