A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{ramirez:evows07,
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author = "Rafael Ramirez and Montserrat Puiggros",
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title = "A Genetic Programming Approach to Feature Selection
and Classification of Instantaneous Cognitive States",
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booktitle = "Applications of Evolutionary Computing,
EvoWorkshops2007: {EvoCOMNET}, {EvoFIN}, {EvoIASP},
{EvoInteraction}, {EvoMUSART}, {EvoSTOC},
{EvoTransLog}",
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year = "2007",
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month = "11-13 " # apr,
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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",
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series = "LNCS",
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volume = "4448",
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publisher = "Springer Verlag",
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address = "Valencia, Spain",
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pages = "311--319",
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keywords = "genetic algorithms, genetic programming, feature
extraction, fMRI data",
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isbn13 = "978-3-540-71804-8",
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DOI = "doi:10.1007/978-3-540-71805-5_34",
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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.",
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notes = "EvoWorkshops2007",
- }
Genetic Programming entries for
Rafael Ramirez
Montserrat Puiggros
Citations