Source Code Plagiarism Detection Using Siamese BLSTM Network and Embedding Models
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Unsupervised and supervised machine learning and deep learning algorithms are popularly used for downstream similarity modeling or classification in source code plagiarism detection.
“Similarly for downstream similarity modeling or classification, unsupervised (Acampora and Cosma, 2015) and supervised (Bandara and Wijayarathna, 2011; Manahi, 2021) machine learning and deep learning algorithms are popularly used.”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Manahi, 2021
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Proactive and reactive engagement of artificial intelligence methods for education: a review
Mallik, S., & Gangopadhyay, A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1151391 · Cited by 139 · see citing works
Source Code Plagiarism Detection with Pre-Trained Model Embeddings and Automated Machine Learning
Ebrahim, F., & Joy, M. S. (2023) · International conference Recent advances in natural language processing · doi:10.26615/978-954-452-092-2_034 · Cited by 5 · see citing works
Textual Plagiarism Detection Using Embedding Models and Siamese LSTM
Saeed, A. A. M., & Taqa, A. Y. (2022) · International Conference for Natural and Applied Sciences (ICNAS) · doi:10.1109/icnas55512.2022.9944717 · Cited by 1 · see citing works
- Authors
- Manahi, M., Sulaiman, S., & Bakar, N. S. A. A.
- Affiliations
- International Islamic University Malaysia (MY)
- Corresponding author
- Manahi, Mohammed
- Venue
- Lecture Notes in Electrical Engineering
- Publisher
- Springer Singapore
- Published
- 2022
- Pages
- 397-409
- ISSN
- 1876-1100 (ISSN-L)
- 1876-1119
- OpenAlex
- W4220713858
- Cited by
- 3
- References
- 26
- Citations by year
- 2023: 2 · 2022: 1
- FWCI
- 1.95
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in electrical engineering (publishedVersion)
- The International Islamic University Malaysia Repository (The International Islamic University Malaysia) (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- code plagiarism detection, Word2Vec, FastText, Manhattan distance, academic integrity, programming exercises
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