Objective Assessment of Visuo-Spatial Ability Using Implicit Context Representation Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{Lones:2010:GECma,
  author =       "Michael A. Lones and Stephen L. Smith",
  title =        "Objective Assessment of Visuo-Spatial Ability Using
                 Implicit Context Representation Cartesian Genetic
                 Programming",
  booktitle =    "Genetic and Evolutionary Computation: Medical
                 Applications",
  publisher =    "John Wiley and Sons, Ltd",
  year =         "2010",
  editor =       "Stephen L. Smith and Stefano Cagnoni",
  chapter =      "6.1",
  pages =        "174--189",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, advanced modelling, diagnosis and
                 treatment using GEC, objective assessment of
                 visuo-spatial ability - using implicit context
                 representation cartesian genetic programming,
                 visuo-spatial ability, person's manipulation - of
                 visual representations and spatial relationships,
                 geometric shape-drawing tasks - evaluating
                 visuo-spatial neglect, implicit context representation
                 cartesian genetic programming (IRCGP), CGP, graph-based
                 genetic programming system - performing well within
                 problem domains, CGP efficacy, attributed to implicit
                 reuse of subexpressions, bottom-up development process
                 - satisfying functionality profiles, receiver operating
                 characteristic (ROC) analysis - measuring evolved
                 classifier's fitness, IRCGP - to identify meaningful
                 patterns of subject movement",
  isbn13 =       "9780470748138",
  DOI =          "doi:10.1002/9780470973134.ch10",
  abstract =     "Functional Magnetic Resonance Imaging (fMRI) is
                 commonly used to measure the shape of the mouth (oral
                 tract), but there are significant disadvantages to its
                 use for measurements during speech or singing. For
                 example, the subject is supine, the local environment
                 is acoustically noisy and the exposure time can be
                 quite long. In this chapter, we describe an
                 experimental method that could replace fMRI for oral
                 tract shape measurement. Oral tracts are evolved for a
                 set of vowels for two adult males using physical
                 modelling 2-dimensional digital waveguide synthesis.
                 Starting with a population of 50 randomly shaped oral
                 tracts, quite close matches to the target natural
                 acoustic outputs were observed after evolution over 50
                 generations. This was specially the case for
                 phonetically open vowels (e.g. the vowels in cat, cart
                 and caught) as opposed to the results obtained for
                 phonetically close vowels (such as kit, get and coot).
                 It is suggested that this is because of the narrow oral
                 tract constriction associated with close vowels to
                 which special attention needs to be paid in the future
                 and that this technique offers a potential alternative
                 to fMRI for vocal tract shape measurement.",
  bibsource =    "OAI-PMH server at eprints.whiterose.ac.uk",
  identifier =   "Lones, M. A. and Smith, S. L. (2010) Objective
                 Assessment of Visuo-spatial Ability using Implicit
                 Context Representation Cartesian Genetic Programming.
                 In: Genetic and Evolutionary Computation: Medical
                 Applications. Wiley .",
  oai =          "oai:eprints.whiterose.ac.uk:69358",
  type =         "NonPeerReviewed",
}

Genetic Programming entries for Michael A Lones Stephen L Smith

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