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Research Article

Automated Authorship Attribution Using Advanced Signal Classification Techniques

  • Maryam Ebrahimpour,

    Affiliation: School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia

    X
  • Tālis J. Putniņš,

    Affiliations: School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia, Stockholm School of Economics in Riga, Riga, Latvia, University of Technology Sydney, Sydney, New South Wales, Australia

    X
  • Matthew J. Berryman,

    Affiliations: School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia, SMART Infrastructure Facility, University of Wollongong, Wollongong, New South Wales, Australia

    X
  • Andrew Allison,

    Affiliation: School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia

    X
  • Brian W.-H. Ng,

    Affiliation: School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia

    X
  • Derek Abbott mail

    derek.abbott@adelaide.edu.au

    Affiliation: School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, South Australia, Australia

    X
  • Published: February 20, 2013
  • DOI: 10.1371/journal.pone.0054998
  • Featured in PLOS Collections

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Media Coverage of This Article

Posted by PLoS_ONE_Group on 23 Feb 2013 at 01:01 GMT

The following article represents some of the media coverage that has occurred for this paper:

Publication: The Register
Title: “Open source app can detect text's authors - The Register”
http://www.theregister.co...

If you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article.

Competing interests declared: PLOS ONE Staff

RE: Media Coverage of This Article

PLoS_ONE_Group replied to PLoS_ONE_Group on 22 Apr 2013 at 16:11 GMT

The following article represents some of the media coverage that has occurred for this paper:

Publication: EveryONE PLOS ONE Community Blog
Title: “Announcing the PLOS Text Mining Collection | EveryONE”
http://blogs.plos.org/eve...

If you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article.

Competing interests declared: PLOS ONE Staff