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Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms
16 references·0 citing·45 second hop
Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms (2021)Credit Decision Support Based on Real Set…A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods (2021)A novel dynamic credit risk e…Big data analytics on enterprise credit risk evaluation of e-Business platform (2019)Big data analytics on enterpr…A multi-objective approach for profit-driven feature selection in credit scoring (2019)A multi-objective approach fo…A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment (2019)A Bolasso based consistent fe…Financial credit risk assessment: a recent review (2015)Financial credit risk assessm…A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A hybrid data mining model of…Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Credit scoring models for the…CART-based selection of bankruptcy predictors for the logit model (2012)CART-based selection of bankr…Using partial least squares and support vector machines for bankruptcy prediction (2011)Using partial least squares a…Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence (2011)Financial health prediction m…Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction (2010)Hybridizing principles of TOP…Predicting issuer credit ratings using a semiparametric method (2009)Predicting issuer credit rati…Data mining feature selection for credit scoring models (2005)Data mining feature selection…Credit risk optimization with Conditional Value-at-Risk criterion (2001)Credit risk optimization with…An Efficient Semiparametric Estimator for Binary Response Models (1993)An Efficient Semiparametric E…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Stochastic Programming (1995)Coherent Measures of Risk (1999)Optimization of conditional value-at-risk (2000)Probabilistic Programming (2003)Conditional value at risk and related linear programming models for portfolio optimization (2006)Twenty years of linear programming based portfolio optimization (2013)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Bankruptcy prediction using Partial Least Squares Logistic Regression (2017)The effects of handling outliers on the performance of 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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1993An Efficient Semiparametric Estimator for Binary Response Models759 cited
  • 2001Credit risk optimization with Conditional Value-at-Risk criterion295 cited
  • 2015Financial credit risk assessment: a recent review234 cited
  • 2019A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment211 cited
  • 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru210 cited
  • 2015A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring178 cited
  • 2019A multi-objective approach for profit-driven feature selection in credit scoring141 cited
  • 2005Data mining feature selection for credit scoring models117 cited
  • 2011Using partial least squares and support vector machines for bankruptcy prediction102 cited
  • 2019Big data analytics on enterprise credit risk evaluation of e-Business platform101 cited
  • 2010Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction97 cited
  • 2021A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods95 cited
  • 2011

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Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence
86 cited
  • 2009Predicting issuer credit ratings using a semiparametric method60 cited
  • 2012CART-based selection of bankruptcy predictors for the logit model57 cited
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