A parallel genetic programming for single class classification

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@InProceedings{To:2013:GECCOcomp,
  author =       "Cuong To and Mohamed Elati",
  title =        "A parallel genetic programming for single class
                 classification",
  booktitle =    "GECCO '13 Companion: Proceeding of the fifteenth
                 annual conference companion on Genetic and evolutionary
                 computation conference companion",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and 
                 Thomas Bartz-Beielstein and Daniele Loiacono and 
                 Francisco Luna and Joern Mehnen and Gabriela Ochoa and 
                 Mike Preuss and Emilia Tantar and Leonardo Vanneschi and 
                 Kent McClymont and Ed Keedwell and Emma Hart and 
                 Kevin Sim and Steven Gustafson and 
                 Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and 
                 Nikolaus Hansen and Olaf Mersmann and Petr Posik and 
                 Heike Trautmann and Muhammad Iqbal and Kamran Shafi and 
                 Ryan Urbanowicz and Stefan Wagner and 
                 Michael Affenzeller and David Walker and Richard Everson and 
                 Jonathan Fieldsend and Forrest Stonedahl and 
                 William Rand and Stephen L. Smith and Stefano Cagnoni and 
                 Robert M. Patton and Gisele L. Pappa and 
                 John Woodward and Jerry Swan and Krzysztof Krawiec and 
                 Alexandru-Adrian Tantar and Peter A. N. Bosman and 
                 Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and 
                 David L. Gonzalez-Alvarez and 
                 Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and 
                 Kenneth Holladay and Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-1964-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1579--1586",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2466811",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In this paper, we present an algorithm based on
                 genetic programming for single (one) class
                 classification that uses one set containing similar
                 patterns in training process. This type of problem is
                 called single (one) class classification, a novel
                 detection. The proposed algorithm was tested and
                 compared to seven other traditional methods based on
                 two publicly available transcriptomic and proteomic
                 time series datasets and two public breast cancer
                 datasets. The results show that the algorithm could
                 find most similar patterns in the databases with rather
                 low misclassification rates. We also applied parallel
                 genetic programming for this algorithm and it proves
                 that the island model can give better solutions than
                 sequential genetic programming.",
  notes =        "Also known as \cite{2466811} Distributed at
                 GECCO-2013.",
}

Genetic Programming entries for Cuong Chieu To Mohamed Elati

Citations