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Leveraging Network Topology for Credit Risk Assessment in P2P Lending: A Comparative Study under the Lens of Machine Learning
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The 63 checked references that resolve
resolves10.1038/srep00541
DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk
resolves10.1016/j.eswa.2008.01.005
Support vector machines for credit scoring and discovery of significant features
resolves10.1109/ACCESS.2021.3079701
Predicting Default Risk on Peer-to-Peer Lending Imbalanced Datasets
resolves10.1109/ACCESS.2021.3068854
Making Deep Learning-Based Predictions for Credit Scoring Explainable
resolves10.2307/2531595
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
resolves10.1023/A:1008699112516
Credit Risk Assessment Using Statistical and Machine Learning: Basic Methodology and Risk Modeling Applications
resolves10.1016/j.inffus.2018.07.004
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
resolves10.14257/ijast.2014.72.02
Business Analytics using Random Forest Trees for Credit Risk Prediction: A Comparison Study
resolves10.3389/frai.2019.00003
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms
resolves10.1016/j.cogsys.2018.07.023
Enterprise credit risk evaluation based on neural network algorithm
resolves10.1016/S0167-9236(03)00086-1
Credit rating analysis with support vector machines and neural networks: a market comparative study
resolves10.1109/SMC42975.2020.9283419
Structured Feature Derivation for Transfer Learning on Credit Scoring
resolves10.1016/j.ejor.2021.12.024
Credit default prediction from user-generated text in peer-to-peer lending using deep learning
resolves10.1090/S0002-9939-1956-0078686-7
On the shortest spanning subtree of a graph and the traveling salesman problem
resolves10.1016/j.ejor.2015.05.030
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
resolves10.1186/s40854-022-00338-5
Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets
resolves10.1016/j.dss.2018.05.001
A new aspect on P2P online lending default prediction using meta-level phone usage data in China
resolves10.1016/j.ejor.2018.10.024
Deep learning models for bankruptcy prediction using textual disclosures
resolves10.1016/j.eswa.2019.04.071
Predicting distresses using deep learning of text segments in annual reports
resolves10.1080/00036846.2021.2022089
Lending Club meets Zillow: local housing prices and default risk of peer-to-peer loans
resolves10.1146/annurev-financial-111914-041939
Peer-to-Peer Crowdfunding: Information and the Potential for Disruption in Consumer Lending
resolves10.1016/j.ins.2020.05.040
Resampling ensemble model based on data distribution for imbalanced credit risk evaluation in P2P lending
resolves10.1016/j.asoc.2020.106852
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique
resolves10.1016/j.ejor.2021.03.008
The value of text for small business default prediction: A Deep Learning approach
resolves10.1109/LSP.2014.2337313
Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves
The 17 references without a DOI — listed, not checked
no DOI — not checkedref3
no DOI — not checkedref5
no DOI — not checkedReintermediation in FinTech: Evidence from online lending
no DOI — not checkedP2P lending and outside entrepreneurial finance
no DOI — not checkedPREDICTIVE MODELS FOR LOAN DEFAULT RISK AS-SESSMENT
no DOI — not checkedCentrality in social networks: Conceptual clarification. Social network: critical concepts in sociology
no DOI — not checkedCentrality in social networks: Conceptual clarification. Social network: critical concepts in sociology
no DOI — not checkedref36
no DOI — not checkedA general coefficient of similarity and some of its properties
no DOI — not checkedref38
no DOI — not checkedref39
no DOI — not checkedMarketplace lending: A new banking paradigm
no DOI — not checkedref47
no DOI — not checkedCrowd-funding: An infant industry growing fast
no DOI — not checkedBankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection
no DOI — not checkedEvaluation: from precision, recall and F-measure to ROC
no DOI — not checkedShortest connection networks and some generalizations. The Bell System Technical
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