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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.
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods
Artificial Intelligence (AI) has become an integral part of domains such as security, finance, healthcare, medicine, and criminal justice.
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
Our experimental results suggest that the infusion of domain knowledge provides better explainability as well as a faster decision or response.
Explainable artificial intelligence
Network Intrusion Detection
