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Using partial least squares and support vector machines for bankruptcy prediction
13 references·16 citing·35 second hopsampled
Using partial least squares and support vector machines for bankruptcy prediction (2011)Using partial least squares and support v…Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks (2008)Threshold accepting trained p…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…Bankruptcy prediction using a discrete‐time duration model incorporating temporal and macroeconomic dependencies (2008)Bankruptcy prediction using a…Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach (2008)Bankruptcy prediction modelin…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…A selective ensemble based on expected probabilities for bankruptcy prediction (2008)A selective ensemble based on…A genetic programming model for bankruptcy prediction: Empirical evidence from Iran (2008)A genetic programming model f…A binary classification method for bankruptcy prediction (2008)A binary classification metho…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Bankruptcy prediction by generalized additive models (2006)Bankruptcy prediction by gene…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)35 years of studies on busine…The recurrence of financial distress: A survival analysis (2022)The recurrence of financial d…An intelligent bankruptcy prediction model using a multilayer perceptron (2022)An intelligent bankruptcy pre…Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms (2021)Credit Decision Support Based…Bankruptcy prediction using fuzzy convolutional neural networks (2021)Bankruptcy prediction using f…Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)Machine learning models and c…The effects of handling outliers on the performance of bankruptcy prediction models (2018)The effects of handling outli…Forecasting financial distress for French firms: a comparative study (2017)Forecasting financial distres…Dynamic prediction of financial distress using Malmquist DEA (2017)Dynamic prediction of financi…Distressed Chinese firm prediction with discretized data (2017)Distressed Chinese firm predi…Bankruptcy prediction using Partial Least Squares Logistic Regression (2017)Bankruptcy prediction using P…Features selection, data mining and finacial risk classification: a comparative study (2016)Features selection, data mini…A Global Model for Bankruptcy Prediction (2016)A Global Model for Bankruptcy…Business Bankruptcy Prediction Based on Survival Analysis Approach (2014)Business Bankruptcy Predictio…Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Clustering and visualization …Assessing methodologies for intelligent bankruptcy prediction (2012)Assessing methodologies for i…A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy (2011)A Hybrid Device of Self Organ…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Decision support systems and intelligent systems (1997)Fuzzy Support Vector Machine for bankruptcy prediction (2010)A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy (2014)Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)Financial Ratios As Predictors of Failure (1966)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Two credit scoring models based on dual strategy ensemble trees (2011)The effect of feature selection on financial distress prediction (2014)Financial credit risk assessment: a recent review (2015)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)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)What's In A Name? Malay Seals As Onomastic Sources (2018)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis (2010)AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies (2011)Conditional logit analysis of qualitative choice behavior (1972)Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2013)Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Machine Learning in Financial Crisis Prediction: A Survey (2011)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction (2010)Corporate social responsibility engagement of financially distressed firms and their bankruptcy likelihood (2018)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Financial crisis prediction model using ant colony optimization (2018)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems795 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach182 cited
  • 2008A genetic programming model for bankruptcy prediction: Empirical evidence from Iran163 cited
  • 2008A selective ensemble based on expected probabilities for bankruptcy prediction140 cited
  • 2008Bankruptcy prediction using a discrete‐time duration model incorporating temporal and macroeconomic dependencies133 cited
  • 2008A binary classification method for bankruptcy prediction117 cited
  • 2008Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks114 cited
  • 2006Bankruptcy prediction by generalized additive models114 cited

Cited by

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  • 2017Bankruptcy prediction using Partial Least Squares Logistic Regression100 cited
  • 2018The effects of handling outliers on the performance of bankruptcy prediction models98 cited
  • 2012Clustering and visualization of bankruptcy trajectory using self-organizing map96 cited
  • 2017Dynamic prediction of financial distress using Malmquist DEA95 cited
  • 2016A Global Model for Bankruptcy Prediction74 cited
  • 2019Machine learning models and cost-sensitive decision trees for bond rating prediction66 cited
  • 2022The recurrence of financial distress: A survival analysis61 cited
  • 2021Bankruptcy prediction using fuzzy convolutional neural networks60 cited
  • 2017Forecasting financial distress for French firms: a comparative study54 cited
  • 2012Assessing methodologies for intelligent bankruptcy prediction53 cited
  • 2022An intelligent bankruptcy prediction model using a multilayer perceptron41 cited
  • 2014Business Bankruptcy Prediction Based on Survival Analysis Approach37 cited
  • 2017Distressed Chinese firm prediction with discretized data37 cited
  • 2016Features selection, data mining and finacial risk classification: a comparative study36 cited
  • 2021Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms35 cited
  • 2011A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy33 cited