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Feature selection using Bayesian and multiclass Support Vector Machines approaches: Application to bank risk prediction
16 references·5 citing·46 second hop
Feature selection using Bayesian and multiclass Support Vector Machines approaches: Application to bank risk prediction (2011)Feature selection using Bayesian and mult…Multiple classifier application to credit risk assessment (2009)Multiple classifier applicati…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)Predicting bank financial fai…Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks (2008)Differential evolution traine…Cross-country determinants of bank income smoothing by managing loan-loss provisions (2007)Cross-country determinants of…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case (2004)Prediction of commercial bank…Predicting large US commercial bank failures (2002)Predicting large US commercia…Bayesian Models for Early Warning of Bank Failures (2001)Bayesian Models for Early War…Separating the likelihood and timing of bank failure (1995)Separating the likelihood and…Forecasting Bank Failure: A Non-Parametric Frontier Estimation Approach (1994)Forecasting Bank Failure: A N…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Risk in Banking and Capital Regulation (1988)Risk in Banking and Capital R…An application of the cox proportional hazards model to bank failure (1986)An application of the cox pro…A factor-analytic approach to bank condition (1985)A factor-analytic approach to…Early warning of bank failure (1977)Early warning of bank failureA MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)A MULTIVARIATE STATISTICAL AN…Transforming credit risk assessment: A systematic review of AI and machine learning applications (2025)Transforming credit risk asse…Bank failure prediction: corporate governance and financial indicators (2023)Bank failure prediction: corp…A Comparative Study of Machine Learning Approaches for Non Performing Loan Prediction (2021)A Comparative Study of Machin…Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management (2018)Flexible inverse adaptive fuz…An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management (2018)An integrated inverse adaptiv…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Predicting corporate bankruptcy: where we stand? (2006)Are Competitive Banking Systems More Stable? (2009)Frailty Correlated Default (2009)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Law and Finance (1998)Corporate Ownership Around the World (1999)Auditor reputation and earnings management: International evidence from the banking industry (2010)Effects of national culture on earnings quality of banks (2011)Mandatory IFRS Adoption and Accounting Quality of European Banks (2011), with Günther Gebhardt (2011)Deregulation and bank financial policy (1984)Financial Intermediation and Delegated Monitoring (1984)The Relationship between Liquidity Risk and Credit Risk in Banks (2012)Predicting distress in European banks (2013)The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis (2016)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial crises and bank failures: A review of prediction methods (2009)Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)A Discriminant Analysis of Predictors of Business Failure (1972)The Determinants of Banking Crises in Developing and Developed Countries (1998)Feature selection in bankruptcy prediction (2008)A survey on bank branch efficiency and performance research with data envelopment analysis (2012)Financial Ratios As Predictors of Failure (1966)PREDICTION OF BANK FAILURES (1970)The probability of bankruptcy (1981)The Analysis and Use of Financial Ratios: A Review Article (1987)Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia (2008)Safety First and the Holding of Assets (1952)Risk Aversion in the Small and in the Large (1964)Risk Aversion in the Small and in the Large (1976)The role of capital in financial institutions (1995)Does bank capital affect lending behavior? (2004)Rethinking Bank Regulation: Till Angels Govern (2005)Credit risk measurement: Developments over the last 20 years (1997)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
this work references cited by second hop

References

  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1988Risk in Banking and Capital Regulation1,058 cited
  • 1977Early warning of bank failure960 cited
  • 1986An application of the cox proportional hazards model to bank failure559 cited
  • 1975A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS485 cited
  • 2007Cross-country determinants of bank income smoothing by managing loan-loss provisions474 cited
  • 1995Separating the likelihood and timing of bank failure348 cited
  • 2004Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case298 cited
  • 2008Predicting 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 Turkey286 cited
  • 2002Predicting large US commercial bank failures267 cited
  • 1985A factor-analytic approach to bank condition196 cited
  • 2008Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks179 cited
  • 2009Multiple classifier application to credit risk assessment

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166 cited
  • 1994Forecasting Bank Failure: A Non-Parametric Frontier Estimation Approach158 cited
  • 2001Bayesian Models for Early Warning of Bank Failures155 cited
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    • 2023Bank failure prediction: corporate governance and financial indicators23 cited
    • 2018Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management20 cited
    • 2025Transforming credit risk assessment: A systematic review of AI and machine learning applications17 cited