Agras, K., & Atay, B. (2024). A Novel Transformer-Based Deep Learning Pipeline for Multilingual Fake News Detection. International Journal of High School Research, 6(4), 73-79. https://doi.org/10.36838/v6 i4.12
ISO-690 (author-date, English)AGRAS, Kagan und ATAY, Begum, 2024. A Novel Transformer-Based Deep Learning Pipeline for Multilingual Fake News Detection. International Journal of High School Research. 1 April 2024. Vol. 6, no. 4, p. 73-79. DOI 10.36838/v6 i4.12.
Modern Language Association 9th editionAgras, K., und B. Atay. „A Novel Transformer-Based Deep Learning Pipeline for Multilingual Fake News Detection.“. International Journal of High School Research, Bd. 6, Nr. 4, April 2024, S. 73-79, https://doi.org/10.36838/v6 i4.12.
Mohr Siebeck - Recht (Deutsch - Österreich)Agras, Kagan/Atay, Begum: A Novel Transformer-Based Deep Learning Pipeline for Multilingual Fake News Detection., International Journal of High School Research 2024, 73-79.
Emerald - HarvardAgras, K. und Atay, B. (2024), „A Novel Transformer-Based Deep Learning Pipeline for Multilingual Fake News Detection.“, International Journal of High School Research, Vol. 6 No. 4, S. 73-79.