Pages that link to "Item:Q2239924"
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The following pages link to The value of text for small business default prediction: a deep learning approach (Q2239924):
Displaying 12 items.
- Behaviour-based short-term invoice probability of default evaluation (Q1752908) (← links)
- Credit default prediction from user-generated text in peer-to-peer lending using deep learning (Q2140350) (← 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)
- A transformer-based model for default prediction in mid-cap corporate markets (Q6167415) (← links)
- Industry-sensitive language modeling for business (Q6554668) (← links)
- Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation (Q6554678) (← links)
- Optimizing credit limit adjustments under adversarial goals using reinforcement learning (Q6554682) (← links)
- A new ordinal mixed-data sampling model with an application to corporate credit rating levels (Q6556109) (← links)
- 360 degrees rumor detection: when explanations got some explaining to do (Q6572874) (← links)
- Towards the development of an explainable e-commerce fake review index: an attribute analytics approach (Q6572879) (← links)
- Lost in a black-box? Interpretable machine learning for assessing Italian SMEs default (Q6581548) (← links)
