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Authorship Attribution

Authorship attribution, also known as authorship identification, aims to attribute a previously unseen text of unknown authorship to one of a set of known authors.

Papers

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Showing 151–175 of 212 papers

TitleStatusHype
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks—0
Authorship Analysis of Xenophon's Cyropaedia—0
Authorship attribution of source code by using back propagation neural network based on particle swarm optimizationCode0
Leveraging Discourse Information Effectively for Authorship AttributionCode0
Approximating Style by N-gram-based Annotation—0
Authorship Attribution with Convolutional Neural Networks and POS-Eliding—0
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution—0
An Image Analysis Approach to the Calligraphy of Books—0
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution—0
On the ``Calligraphy'' of Books—0
Finding a Character's Voice: Stylome Classification on Literary Characters—0
On the "Calligraphy" of Books—0
On the role of words in the network structure of texts: application to authorship attribution—0
Labelled network subgraphs reveal stylistic subtleties in written texts—0
An Automated Text Categorization Framework based on Hyperparameter OptimizationCode0
Authorship Attribution Using Text DistortionCode0
Authorship Attribution Using Text DistortionCode0
Continuous N-gram Representations for Authorship Attribution—0
Convolutional Neural Networks for Authorship Attribution of Short Texts—0
Detecting Sockpuppets in Deceptive Opinion Spam—0
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments—0
Language and Dialect Discrimination Using Compression-Inspired Language Models—0
Authorship Attribution Based on Life-Like Network Automata—0
Stylometric Analysis of Early Modern Period English Plays—0
Character-level and Multi-channel Convolutional Neural Networks for Large-scale Authorship AttributionCode0
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