A Genetic Programming Classifier Design Approach for Cell Images

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/ecsqaru/AkyolYE07,
  title =        "A Genetic Programming Classifier Design Approach for
                 Cell Images",
  author =       "Aydin Akyol and Yusuf Yaslan and Osman Kaan Erol",
  booktitle =    "Proceedings of the 9th European Conference on Symbolic
                 and Quantitative Approaches to Reasoning with
                 Uncertainty, ECSQARU",
  bibdate =      "2007-09-17",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ecsqaru/ecsqaru2007.html#AkyolYE07",
  publisher =    "Springer",
  year =         "2007",
  volume =       "4724",
  editor =       "Khaled Mellouli",
  isbn13 =       "978-3-540-75255-4",
  pages =        "878--888",
  series =       "Lecture Notes in Computer Science",
  address =      "Hammamet, Tunisia",
  month =        oct # " 31 - " # nov # " 2",
  keywords =     "genetic algorithms, genetic programming, cell
                 classification, classifier design, pollen
                 classification",
  DOI =          "doi:10.1007/978-3-540-75256-1_76",
  abstract =     "This paper describes an approach for the use of
                 genetic programming (GP) in classification problems and
                 it is evaluated on the automatic classification problem
                 of pollen cell images. In this work, a new reproduction
                 scheme and a new fitness evaluation scheme are proposed
                 as advanced techniques for GP classification
                 applications. Also an effective set of pollen cell
                 image features is defined for cell images. Experiments
                 were performed on Bangor/Aberystwyth Pollen Image
                 Database and the algorithm is evaluated on challenging
                 test configurations. We reached at 96percent success
                 rate on the average together with significant
                 improvement in the speed of convergence.",
  notes =        "cf email GP mailing list Mon, 24 Dec 2007 13:42:59
                 +0200

                 You may find MATLAB codes from my Web Page below:
                 www3.itu.edu.tr/~okerol

                 you may refer to: O.K. Erol, I.Eksin, 2006. A New
                 Optimization Method: Big-Bang Big-Crunch, Advences in
                 Engineering Software, Elsevier, Vol 37, No.2, 106-111
                 doi:10.1016/j.advengsoft.2005.04.005",
}

Genetic Programming entries for Aydin Akyol Yusuf Yaslan Osman K Erol

Citations