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- W4385483758 abstract "Our study uses Machine learning to develop an advanced fraud detection model that can detect fraudulent firms. We build our model using raw financial and non-financial variables following prior literature. In addition, we introduce the Dynamic Ensemble Selection algorithm to the fraud detection literature, which combines individual classifiers dynamically to make a final prediction. Using several performance evaluation metrics, we find that our model can outperform several machine learning models used in recent studies." @default.
- W4385483758 created "2023-08-03" @default.
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- W4385483758 date "2023-10-01" @default.
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- W4385483758 title "Detecting financial statement fraud using dynamic ensemble machine learning" @default.
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- W4385483758 doi "https://doi.org/10.1016/j.irfa.2023.102827" @default.
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