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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 101–125 of 212 papers

TitleStatusHype
Authorship Attribution with Author-aware Topic Models—0
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States—0
Authorship Attribution with Topic Models—0
Authorship Verification - An Approach based on Random Forest—0
Automated Attribution and Intertextual Analysis—0
Avengers Ensemble! Improving Transferability of Authorship Obfuscation—0
BertAA : BERT fine-tuning for Authorship Attribution—0
BERT-based Authorship Attribution on the Romanian Dataset called ROST—0
Boosting word frequencies in authorship attribution—0
Can You Fool AI by Doing a 180? x2013 A Case Study on Authorship Analysis of Texts by Arata Osada—0
Capturing Style in Author and Document Representation—0
CCTAA: A Reproducible Corpus for Chinese Authorship Attribution Research—0
Classification of Micro-Texts Using Sub-Word Embeddings—0
Comparative study of Authorship Identification Techniques for Cyber Forensics Analysis—0
Concentric network symmetry grasps authors' styles in word adjacency networks—0
Continuous N-gram Representations for Authorship Attribution—0
Convolutional Neural Network Architectures for Signals Supported on Graphs—0
Convolutional Neural Networks for Authorship Attribution of Short Texts—0
Corpus-Based Paraphrase Detection Experiments and Review—0
Cross-Language Authorship Attribution—0
Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?—0
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks—0
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts—0
Defending Against Adversarial Machine Learning—0
Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods—0
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