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A feature selection enabled hybrid‐bagging algorithm for credit risk evaluation
16 references·6 citing·30 second hop
A feature selection enabled hybrid‐bagging algorithm for credit risk evaluation (2017)A feature selection enabled hybrid‐baggin…Credit scoring using the clustered support vector machine (2014)Credit scoring using the clus…Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)Genetic algorithm-based heuri…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Credit risk assessment with a multistage neural network ensemble learning approach (2007)Credit risk assessment with a…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Building credit scoring models using genetic programming (2005)Building credit scoring model…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…Neural network credit scoring models (2000)Neural network credit scoring…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…Multivariate Normality and Forecasting of Business Bankruptcy (1987)Multivariate Normality and Fo…Cost-sensitive stacking ensemble learning for company financial distress prediction (2024)Cost-sensitive stacking ensem…Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost (2022)Enterprise credit risk predic…Credit risk evaluation: a comprehensive study (2022)Credit risk evaluation: a com…Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring (2021)Hybridized artificial neural …A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest (2021)A Two-Stage Hybrid Default Di…Knowledge mapping of credit risk research: scientometrics analysis using CiteSpace (2019)Knowledge mapping of credit r…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)The Pricing of Options and Corporate Liabilities (1973)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Discriminant Analysis of Predictors of Business Failure (1972)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)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)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Consumer credit-risk models via machine-learning algorithms (2010)Research design and statistical analysis (2011)Information gain directed genetic algorithm wrapper feature selection for credit rating (2018)COVID-19 and stock market volatility: An industry level analysis (2020)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)A comparison of neural networks and linear scoring models in the credit union environment (1996)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)Machine Learning in Financial Crisis Prediction: A Survey (2011)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)
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References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2013Genetic algorithm-based heuristic for feature selection in credit risk assessment430 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 1987Multivariate Normality and Forecasting of Business Bankruptcy354 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2007Credit risk assessment with a multistage neural network ensemble learning approach310 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited

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  • 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction277 cited
  • 2014Credit scoring using the clustered support vector machine269 cited
  • Cited by

    • 2022Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost40 cited
    • 2022Credit risk evaluation: a comprehensive study35 cited
    • 2024Cost-sensitive stacking ensemble learning for company financial distress prediction34 cited
    • 2019Knowledge mapping of credit risk research: scientometrics analysis using CiteSpace19 cited
    • 2021A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest17 cited
    • 2021Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring15 cited