A hybrid CNN and BiLSTM model is reported to reach F1 0.88 for financial systemic risk classification, outperforming four baselines on an undisclosed dataset.
Investigation of the Influence of Non -Routine and Derived Features in the Development of Early Detection Model for Transformer Health Index Classification
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A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
A hybrid CNN and BiLSTM model is reported to reach F1 0.88 for financial systemic risk classification, outperforming four baselines on an undisclosed dataset.