2013 |
Efstathios Stamatatos, (2013), On the Robustness of Authorship Attribution Based on Character n-gram Features, Journal of Law and Policy, Vol = 21, (2), pp. = 421-439 |
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Efstathios Stamatatos, G. Sidorov, F. Velasquez, A. Gelbukh, L. Chanona-Hernández, (2013), Syntactic N-grams as Machine Learning Features for Natural Language Processing, Expert Systems with Applications |
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2011 |
Stefanos Gritzalis, Efstathios Stamatatos, Georgia Frantzeskou, S. MacDonell, S. Georgiou, (2011), The significance of user-defined identifiers in Java source code authorship identification, International Journal of Computer Systems Science and Engineering, Vol = 26, (2), pp. = 139-148 |
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Efstathios Stamatatos, (2011), Plagiarism Detection Using Stopword n-grams, Journal of the American Society for Information Science and Technology, Vol = 62, (12), pp. = 2512-2527 |
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2009 |
Efstathios Stamatatos, (2009), A Survey of Modern Authorship Attribution Methods, Journal of the American Society for Information Science and Technology, Vol = 60, (3), pp. = 538-556 |
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Efstathios Stamatatos, I. Kanaris, (2009), Learning to Recognize Webpage Genres, Information Processing and Management, Vol = 45, (5), pp. = 499-512 |
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2008 |
Stefanos Gritzalis, Efstathios Stamatatos, Georgia Frantzeskou, S. MacDonell, (2008), Examining the Significance of high-level programming features in Source-code Author Classification, Journal of Systems and Software, Vol = 81, (3), pp. = 447-460 |
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Efstathios Stamatatos, (2008), Author Identification: Using Text Sampling to Handle the Class Imbalance Problem, Information Processing and Management, Vol = 44, (2), pp. = 790-799 |
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2007 |
Stefanos Gritzalis, Efstathios Stamatatos, Georgia Frantzeskou, C. Chaski, B. Howald, (2007), Identifying Authorship by Byte Level n-grams: The Source Code Author Profile (SCAP) Method, International Journal of Digital Evidence, Vol = 6, (1) |
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Efstathios Stamatatos, I. Kanaris, K. Kanaris, J. Houvardas, (2007), Words vs. Character N-grams for Anti-spam Filtering, Int. Journal on Artificial Intelligence Tools, Vol = 16, (6), pp. = 1047-1067 |
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