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Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
In the area of credit risk analytics, current Bankruptcy Prediction Models (BPMs) struggle with (a) the availability of comprehensive and real-world data sets and (b) the presence of extreme class imbalance in the data (i. e., very few samples for the minority class) that degrades the performance of the prediction model.
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
In this paper, we propose the use of mimic learning to enable the transfer of intrusion detection knowledge through a teacher model trained on private data to a student model.
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