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Credit Approval System Using Machine Learning: Challenges and Future Directions
16 references·0 citing·44 second hop
Credit Approval System Using Machine Learning: Challenges and Future Directions (2021)Credit Approval System Using Machine Lear…Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Machine learning techniques f…An Approach for Prediction of Loan Approval using Machine Learning Algorithm (2020)An Approach for Prediction of…A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees (2020)A comparative study of foreca…A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data (2020)A Comparative Assessment of C…A benchmark of machine learning approaches for credit score prediction (2020)A benchmark of machine learni…DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)DGHNL: A new deep genetic hie…A Deep Learning Approach for Credit Scoring of Peer-to-Peer Lending Using Attention Mechanism LSTM (2018)A Deep Learning Approach for …Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Evaluating credit risk and lo…An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)An empirical comparison of co…Credit scoring for microfinance: is it worth it? (2011)Credit scoring for microfinan…A data driven ensemble classifier for credit scoring analysis (2009)A data driven ensemble classi…A COMPARISON OF DATA MINING TECHNIQUES FOR CREDIT SCORING IN BANKING: A MANAGERIAL PERSPECTIVE (2009)A COMPARISON OF DATA MINING T…A credit scoring model for Vietnam's retail banking market (2007)A credit scoring model for Vi…Modelling small‐business credit scoring by using logistic regression, neural networks and decision trees (2005)Modelling small‐business cred…Data mining feature selection for credit scoring models (2005)Data mining feature selection…Neural network credit scoring models (2000)Neural network credit scoring…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)A Comparative Performance Assessment of Ensemble Learning for Credit Scoring (2020)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives (2008)Efficiency in the Vietnamese banking system: A DEA double bootstrap approach (2015)Fuzzy sets (1965)Fuzzy sets (1996)Deep learning for credit scoring: Do or don’t? (2021)Operational Research and Artificial Intelligence Methods in Banking (2022)Utilization of artificial intelligence in the banking sector: a systematic literature review (2022)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Credit Rationing in Markets with Imperfect Information (1981)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)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)The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform (2019)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Fake news detection using deep learning models: A novel approach (2019)Deep learning in finance and banking: A literature review and classification (2020)Online peer-to-peer lending: A review of the literature (2021)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Feature selection in bankruptcy prediction (2008)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Machine Learning (ML) Technologies for Digital Credit Scoring in Rural Finance: A Literature Review (2021)An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices (2022)Credit scoring methods: Latest trends and points to consider (2022)Pricing Derivatives on Financial Securities Subject to Credit Risk (1995)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment (2021)Machine learning-driven credit risk: a systemic review (2022)Instance-based credit risk assessment for investment decisions in P2P lending (2015)Risk assessment in social lending via random forests (2015)Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction (2022)Algorithmic discrimination in the credit domain: what do we know about it? (2023)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms (2022)Customer Loan Eligibility Prediction using Machine Learning Algorithms in Banking Sector (2022)Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data (2024)
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References

  • 2000Neural network credit scoring models1,032 cited
  • 2014Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending495 cited
  • 2020A benchmark of machine learning approaches for credit score prediction253 cited
  • 2012An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data241 cited
  • 2020Machine learning techniques for credit risk evaluation: a systematic literature review226 cited
  • 2009A data driven ensemble classifier for credit scoring analysis161 cited
  • 2020An Approach for Prediction of Loan Approval using Machine Learning Algorithm153 cited
  • 2019DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring152 cited
  • 2018A Deep Learning Approach for Credit Scoring of Peer-to-Peer Lending Using Attention Mechanism LSTM148 cited
  • 2007A credit scoring model for Vietnam's retail banking market135 cited
  • 2005Modelling small‐business credit scoring by using logistic regression, neural networks and decision trees128 cited
  • 2020A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data124 cited
  • 2020A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees123 cited

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  • 2005Data mining feature selection for credit scoring models117 cited
  • 2009A COMPARISON OF DATA MINING TECHNIQUES FOR CREDIT SCORING IN BANKING: A MANAGERIAL PERSPECTIVE107 cited
  • 2011Credit scoring for microfinance: is it worth it?102 cited
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