RECOD at ImageCLEF 2011: Medical Modality Classification using Genetic Programming

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  title =        "{RECOD} at {ImageCLEF} 2011: Medical Modality
                 Classification using Genetic Programming",
  author =       "Fabio Augusto Faria and Rodrigo Tripodi Calumby and 
                 Ricardo {da Silva Torres}",
  booktitle =    "{CLEF} 2011 Labs and Workshop, Notebook Papers",
  year =         "2011",
  editor =       "Vivien Petras and Pamela Forner and Paul D. Clough",
  address =      "Amsterdam, The Netherlands",
  month =        "19-22 " # sep # " 2011",
  keywords =     "genetic algorithms, genetic programming, medical
                 images, image classification, pattern recognition",
  isbn13 =       "978-88-904810-1-7",
  URL =          "",
  size =         "9 pages",
  abstract =     "This paper describes the participation of the RECOD
                 group on the ImageCLEF 2011 Medical Modality
                 Classification sub-task. We present an approach based
                 on genetic programming and kNN for image
                 classification. In our approach the genetic programming
                 is used for the learning of good functions for the
                 combination of similarities obtained from a set of
                 global descriptors for different visual evidences such
                 as colour, texture, and shape. For each class of the
                 dataset a combination function was learnt and used as a
                 kNN classier. Final classification results were
                 generated by a majority voting scheme with the voting
                 functions from each class. Preliminary experiments have
                 shown a good effectiveness of the approach and its
                 potential for improvements.",
  notes =        "",
  bibdate =      "2011-09-09",
  bibsource =    "DBLP,

Genetic Programming entries for Fabio Augusto Faria Rodrigo Tripodi Calumby Ricardo da Silva Torres