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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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