Cited by 28Authorship Attribution and ProfilingUser Authentication and Security SystemsHandwritten Text Recognition Techniques

Breaking the Closed-World Assumption in Stylometric Authorship Attribution

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Stolerman, Ariel, Overdorf, Rebekah, Afroz, Sadia, Greenstadt, Rachel·2014·Lecture Notes in Computer Science

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Research works printed but not linked: 27

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Cited by

Sorted by citations

Authors
Stolerman, A., Overdorf, R., Afroz, S., & Greenstadt, R.
Affiliations
  • Drexel University (US)
  • University of California, Berkeley (US)
Venue
Lecture Notes in Computer Science
Published
2014
Volume
AICT-433
Pages
185-205
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2206298121
Cited by
28
References
1
Citations by year
2024: 1 · 2022: 3 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 1
FWCI
1.77
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • HAL (submittedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
  • Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
Keywords
stylometry, authorship attribution, closed world assumption

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