Pages that link to "Item:Q2240005"
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The following pages link to How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments (Q2240005):
Displaying 9 items.
- Instance-based credit risk assessment for investment decisions in P2P lending (Q320963) (← links)
- Determinants of borrowers' default in P2P lending under consideration of the loan risk class (Q1712145) (← 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)
- Credit default prediction from user-generated text in peer-to-peer lending using deep learning (Q2140350) (← links)
- Evaluating investors' recognition abilities for risk and profit in online loan markets using nonlinear models and financial big data (Q2236555) (← links)
- (Q3386340) (← links)
- (Q5368039) (← links)
- The profitability of online loans: a competing risks analysis on default and prepayment (Q6106515) (← links)
