Towards Effective Authorship Attribution: Integrating Class-Incremental Learning

Mostafa Rahgouy; Hamed Babaei Giglou; Mehnaz Tabassum; Dongji Feng; Amit Das; Taher Rahgooy; Gerry Dozier; Cheryl D. Seals

doi:10.1109/CogMI62246.2024.00018

Towards Effective Authorship Attribution: Integrating Class-Incremental Learning

Mostafa Rahgouy, Hamed Babaei Giglou, Mehnaz Tabassum, Dongji Feng, Amit Das, Taher Rahgooy, Gerry Dozier, Cheryl D. Seals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	56-65
Number of pages	10
ISBN (Electronic)	9798350386721
DOIs	https://doi.org/10.1109/CogMI62246.2024.00018
State	Published - 2024
Externally published	Yes
Event	6th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2024 - Washington, United States Duration: Oct 28 2024 → Oct 30 2024

Publication series

Name	Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024

Conference

Conference	6th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2024
Country/Territory	United States
City	Washington
Period	10/28/24 → 10/30/24

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Information Systems and Management
Cognitive Neuroscience

Keywords

Authorship Attribution
Class-Incremental Learning
Natural Language Processing

Access to Document

10.1109/CogMI62246.2024.00018

Cite this

Rahgouy, M., Giglou, H. B., Tabassum, M., Feng, D., Das, A., Rahgooy, T., Dozier, G., & Seals, C. D. (2024). Towards Effective Authorship Attribution: Integrating Class-Incremental Learning. In Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024 (pp. 56-65). (Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CogMI62246.2024.00018

Towards Effective Authorship Attribution: Integrating Class-Incremental Learning. / Rahgouy, Mostafa; Giglou, Hamed Babaei; Tabassum, Mehnaz et al.
Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 56-65 (Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rahgouy, M, Giglou, HB, Tabassum, M, Feng, D, Das, A, Rahgooy, T, Dozier, G & Seals, CD 2024, Towards Effective Authorship Attribution: Integrating Class-Incremental Learning. in Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024. Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024, Institute of Electrical and Electronics Engineers Inc., pp. 56-65, 6th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2024, Washington, United States, 10/28/24. https://doi.org/10.1109/CogMI62246.2024.00018

Rahgouy M, Giglou HB, Tabassum M, Feng D, Das A, Rahgooy T et al. Towards Effective Authorship Attribution: Integrating Class-Incremental Learning. In Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 56-65. (Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024). doi: 10.1109/CogMI62246.2024.00018

Rahgouy, Mostafa ; Giglou, Hamed Babaei ; Tabassum, Mehnaz et al. / Towards Effective Authorship Attribution : Integrating Class-Incremental Learning. Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 56-65 (Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024).

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title = "Towards Effective Authorship Attribution: Integrating Class-Incremental Learning",

keywords = "Authorship Attribution, Class-Incremental Learning, Natural Language Processing",

author = "Mostafa Rahgouy and Giglou, \{Hamed Babaei\} and Mehnaz Tabassum and Dongji Feng and Amit Das and Taher Rahgooy and Gerry Dozier and Seals, \{Cheryl D.\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 6th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2024 ; Conference date: 28-10-2024 Through 30-10-2024",

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doi = "10.1109/CogMI62246.2024.00018",

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series = "Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024",

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AU - Tabassum, Mehnaz

AU - Feng, Dongji

AU - Das, Amit

AU - Rahgooy, Taher

AU - Dozier, Gerry

AU - Seals, Cheryl D.

PY - 2024

Y1 - 2024

KW - Authorship Attribution

KW - Class-Incremental Learning

KW - Natural Language Processing

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U2 - 10.1109/CogMI62246.2024.00018

DO - 10.1109/CogMI62246.2024.00018

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T3 - Proceedings - 2024 IEEE 6th International Conference on Cognitive Machine Intelligence, CogMI 2024

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 28 October 2024 through 30 October 2024

ER -

Towards Effective Authorship Attribution: Integrating Class-Incremental Learning

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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