Genetic programming for protein related text classification

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{DBLP:conf/gecco/SegondFR09,
  author =       "Marc Segond and Cyril Fonlupt and Denis Robilliard",
  title =        "Genetic programming for protein related text
                 classification",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "1099--1106",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1569901.1570049",
  abstract =     "Since the genomics revolution, bioinformatics has
                 never been so popular. Many researchers have
                 investigated with great success the use of evolutionary
                 computation in bioinformatics [19] for example in the
                 field of protein folding or determining genome
                 sequences. In this paper, instead of using evolutionary
                 computation as a way to provide new and innovative
                 solutions to complex bioinformatics problems, we use
                 genetic programming as a tool to evolve programs that
                 are able to automatically classify research papers as
                 dealing or not with a given protein. In a second part,
                 we show that the attributes that are selected by the
                 genetic programming evolved programs can be used
                 efficiently for proteins classification.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Marc Segond Cyril Fonlupt Denis Robilliard

Citations