Published on: October 2026
BENCHMARKING SUPERVISED LEARNING, CONTEXTUAL TRANSFORMERS, AND EXPLAINABILITY LAYERS FOR ONLINE RECRUITMENT FRAUD DETECTION
Venkatesh Gajul Vaishnavi Nigde Sourik Porya
Prof. Sanjana Pawale
Article Status
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Abstract
Keywords— Online Recruitment Fraud, Transformer Architectures, BERT, XGBoost, Explainable AI, SMOTE, EMSCAD, Hiring Security.
How to Cite this Paper
Gajul, V., Nigde, V. & Porya, S. (2026). Benchmarking Supervised Learning, Contextual Transformers, and Explainability Layers for Online Recruitment Fraud Detection. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(10), 1-9. https://doi.org/10.55041/ijcope.v2i10.027
Gajul, Venkatesh, et al.. "Benchmarking Supervised Learning, Contextual Transformers, and Explainability Layers for Online Recruitment Fraud Detection." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i10.027.
Gajul, Venkatesh,Vaishnavi Nigde, and Sourik Porya. "Benchmarking Supervised Learning, Contextual Transformers, and Explainability Layers for Online Recruitment Fraud Detection." International Journal of Creative and Open Research in Engineering and Management 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i10.027.
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- •Published on: Oct 07 2026
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