References

• 2023Deep learning in insurance: Accuracy and model interpretability using TabNet138 cited
• 2016Handbook of Quantitative Methods for Detecting Cheating on Tests120 cited
• 2021Machine learning based approach to exam cheating detection102 cited
• 2019Detecting Examinees With Item Preknowledge in Large-Scale Testing Using Extreme Gradient Boosting (XGBoost)65 cited
• 2019Can software improve marker accuracy at detecting contract cheating? A pilot study of the Turnitin authorship investigate alpha56 cited
• 2022Exploration of the Stacking Ensemble Machine Learning Algorithm for Cheating Detection in Large-Scale Assessment51 cited
• 2019Use of Data Mining Methods to Detect Test Fraud42 cited
• 2013Using Deterministic, Gated Item Response Theory Model to Detect Test Cheating due to Item Compromise41 cited

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