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Loan Default Prediction with Machine Learning Techniques
8 references·2 citing·47 second hop
Loan Default Prediction with Machine Learning Techniques (2020)Loan Default Prediction with Machine Lear…Machine learning models for credit analysis improvements: Predicting low-income families’ default (2019)Machine learning models for c…Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Study on a prediction of P2P …Predicting mortgage default using convolutional neural networks (2018)Predicting mortgage default u…Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach (2015)Predicting Credit Risk in Pee…Consumer credit risk: Individual probability estimates using machine learning (2013)Consumer credit risk: Individ…Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings (2013)Comparing the learning effect…A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach (2011)A corporate credit rating mod…Application of support vector machines to corporate credit rating prediction (2006)Application of support vector…Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management (2025)Data-Driven Loan Default Pred…A review of Artificial Intelligence approach for credit risk assessment (2022)A review of Artificial Intell…Application of support vector machines in financial time series forecasting (2001)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Financial time series forecasting using support vector machines (2003)An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach (2016)A multicriteria outranking approach for modeling corporate credit ratings: An application of the Electre Tri-nC method (2018)A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees (2020)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Soft computing system for bank performance prediction (2007)A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)Machine Learning for Financial Risk Management: A Survey (2020)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending (2017)A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction (2019)Forecasting stock market movement direction with support vector machine (2004)Selection of Support Vector Machines based classifiers for credit risk domain (2014)Neural network credit scoring models (2000)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)P2P Lending Survey (2017)A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT (2019)Predicting loan default in peer‐to‐peer lending using narrative data (2019)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Machine learning models and bankruptcy prediction (2017)Bitcoin technical trading with artificial neural network (2018)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market (2015)A study on predicting loan default based on the random forest algorithm (2019)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)VALUE MAXIMIZATION, STAKEHOLDER THEORY, AND THE CORPORATE OBJECTIVE FUNCTION (2001)Big Data's Disparate Impact (2014)Machine Learning Models and Data-Balancing Techniques for Credit Scoring: What Is the Best Combination? (2022)Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Exploring the impact of financial literacy on predicting credit default among farmers: An analysis using a hybrid machine learning model (2024)A machine learning approach for predicting bank credit worthiness (2016)Application of Machine Learning in Credit Risk Assessment: A Prelude to Smart Banking (2019)Redefining Banking and Financial Industry through the application of Computational Intelligence (2019)Exploration and prioritization of crucial factors of artificial intelligence adoption in credit risk scoring: using the fuzzy analytical hierarchical process (2025)Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions (2018)MACHINE LEARNING METHODS FOR SYSTEMIC RISK ANALYSIS IN FINANCIAL SECTORS (2019)Quality 4.0—the challenging future of quality engineering (2020)
this work references cited by second hop

References

  • 2018Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning444 cited
  • 2006Application of support vector machines to corporate credit rating prediction205 cited
  • 2013Consumer credit risk: Individual probability estimates using machine learning196 cited
  • 2018Predicting mortgage default using convolutional neural networks181 cited
  • 2011A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach165 cited
  • 2015Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach152 cited
  • 2013Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings132 cited
  • 2019Machine learning models for credit analysis improvements: Predicting low-income families’ default52 cited

Cited by

  • 2025Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management36 cited
  • 2022A review of Artificial Intelligence approach for credit risk assessment20 cited

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