Pages that link to "Item:Q2140350"
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The following pages link to Credit default prediction from user-generated text in peer-to-peer lending using deep learning (Q2140350):
Displaying 13 items.
- Behaviour-based short-term invoice probability of default evaluation (Q1752908) (← links)
- Default risk prediction and feature extraction using a penalized deep neural network (Q2080353) (← links)
- Operational research and artificial intelligence methods in banking (Q2106712) (← links)
- The value of text for small business default prediction: a deep learning approach (Q2239924) (← links)
- Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction (Q2416723) (← links)
- (Q5368039) (← links)
- Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making (Q6087514) (← links)
- Machine learning in bank merger prediction: a text-based approach (Q6090183) (← links)
- Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation (Q6554678) (← links)
- Sentiment classification of time-sync comments: a semi-supervised hierarchical deep learning method (Q6556117) (← links)
- Towards the development of an explainable e-commerce fake review index: an attribute analytics approach (Q6572879) (← links)
- An explainable federated learning and blockchain-based secure credit modeling method (Q6572887) (← links)
- Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks (Q6589093) (← links)
