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Spike2CGR: an efficient method for spike sequence classification using chaos game representation.

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Title: Spike2CGR: an efficient method for spike sequence classification using chaos game representation.
Authors: Murad, Taslim1, Ali, Sarwan1, Khan, Imdadullah2, Patterson, Murray1, mpatterson30@gsu.edu
Source: Machine Learning; Oct2023, Vol. 112 Issue 10, p3633-3658, 26p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 171806841
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Spike2CGR: an efficient method for spike sequence classification using chaos game representation.
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  Data: <searchLink fieldCode="AU" term="%22Murad%2C+Taslim%22">Murad, Taslim</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ali%2C+Sarwan%22">Ali, Sarwan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Khan%2C+Imdadullah%22">Khan, Imdadullah</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Patterson%2C+Murray%22">Patterson, Murray</searchLink><relatesTo>1</relatesTo>, <i>mpatterson30@gsu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Machine+Learning%22">Machine Learning</searchLink>; Oct2023, Vol. 112 Issue 10, p3633-3658, 26p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171806841
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10994-023-06371-4
    Languages:
      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 3633
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      – TitleFull: Spike2CGR: an efficient method for spike sequence classification using chaos game representation.
        Type: main
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            NameFull: Murad, Taslim
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            NameFull: Ali, Sarwan
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            NameFull: Khan, Imdadullah
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            NameFull: Patterson, Murray
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            – D: 01
              M: 10
              Text: Oct2023
              Type: published
              Y: 2023
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              Value: 08856125
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              Value: 112
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              Value: 10
          Titles:
            – TitleFull: Machine Learning
              Type: main
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