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Authorship attribution of source code by using back propagation neural network based on particle swarm optimization
Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to identify source code programmers. Authorship at...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5667828/ https://ncbi.nlm.nih.gov/pubmed/29095934 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0187204 |
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