Machine Learning and Feature Selection for Authorship Attribution: The Case of Mill, Taylor Mill and Taylor, in the Nineteenth Century-Reference-Cited by-同舟云学术

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Machine Learning and Feature Selection for Authorship Attribution: The Case of Mill, Taylor Mill and Taylor, in the Nineteenth Century

Published:2021 Issue: Volume:9 Page:7143-7151
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Neocleous Andreas^ORCID,Loizides Antis^ORCID

Funder

University of Cyprus

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09308923.pdf?arnumber=9308923

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Authorship Attribution in Less-Resourced Languages: A Hybrid Transformer Approach for Romanian;Applied Sciences;2024-03-23

2. Multispecies Ensemble Architecture For Texts Authorship Classification;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26

3. Did John Stuart Mill Write ‘On Social Freedom’?;Humanities;2023-10-17

4. An Empirical Study on Authorship Verification for Low Resource Language Using Hyper-Tuned CNN Approach;IEEE Access;2023

5. N-Gram based Convolutional Neural Network Approach for Authorship Identification;Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing;2023

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