A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States

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@InProceedings{ramirez:evows07,
  author =       "Rafael Ramirez and Montserrat Puiggros",
  title =        "A Genetic Programming Approach to Feature Selection
                 and Classification of Instantaneous Cognitive States",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2007: {EvoCOMNET}, {EvoFIN}, {EvoIASP},
                 {EvoInteraction}, {EvoMUSART}, {EvoSTOC},
                 {EvoTransLog}",
  year =         "2007",
  month =        "11-13 " # apr,
  editor =       "Mario Giacobini and Anthony Brabazon and 
                 Stefano Cagnoni and Gianni A. {Di Caro} and Rolf Drechsler and 
                 Muddassar Farooq and Andreas Fink and 
                 Evelyne Lutton and Penousal Machado and Stefan Minner and 
                 Michael O'Neill and Juan Romero and Franz Rothlauf and 
                 Giovanni Squillero and Hideyuki Takagi and A. Sima Uyar and 
                 Shengxiang Yang",
  series =       "LNCS",
  volume =       "4448",
  publisher =    "Springer Verlag",
  address =      "Valencia, Spain",
  pages =        "311--319",
  keywords =     "genetic algorithms, genetic programming, feature
                 extraction, fMRI data",
  isbn13 =       "978-3-540-71804-8",
  DOI =          "doi:10.1007/978-3-540-71805-5_34",
  abstract =     "The study of human brain functions has dramatically
                 increased in recent years greatly due to the advent of
                 Functional Magnetic Resonance Imaging. This paper
                 presents a genetic programming approach to the problem
                 of classifying the instantaneous cognitive state of a
                 person based on his/her functional Magnetic Resonance
                 Imaging data. The problem provides a very interesting
                 case study of training classifiers with extremely high
                 dimensional, sparse and noisy data. We apply genetic
                 programming for both feature selection and classifier
                 training. We present a successful case study of induced
                 classifiers which accurately discriminate between
                 cognitive states produced by listening to different
                 auditory stimuli.",
  notes =        "EvoWorkshops2007",
}

Genetic Programming entries for Rafael Ramirez Montserrat Puiggros

Citations