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Accuracy Comparison Between Feedforward Neural Network, Support Vector Machine and Boosting Ensembles for Financial Risk Evaluation
16 references·0 citing·36 second hop
Accuracy Comparison Between Feedforward Neural Network, Support Vector Machine and Boosting Ensembles for Financial Risk Evaluation (2025)Accuracy Comparison Between Feedforward N…Data collection and quality challenges in deep learning: a data-centric AI perspective (2023)Data collection and quality c…A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2019)A Survey on Data Collection f…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Forecasting with neural networks (1993)Forecasting with neural netwo…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Early warning of bank failure (1977)Early warning of bank failureFailing Company Discriminant Analysis (1974)Failing Company Discriminant …The Pricing of Options and Corporate Liabilities (1973)The Pricing of Options and Co…An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)An Empirical Test of Financia…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)The Cost of Capital, Corporation Finance and the Theory of Investment (1958)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Theory of rational option pricing (2005)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Potter's Wheel: An Interactive Data Cleaning System (2001)CrowdER (2012)Principles of Data Integration (2012)Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges (2021)Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure (2021)Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape (2022)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Credit risk measurement: Developments over the last 20 years (1997)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Statistical Models of Bond Ratings: A Methodological Inquiry (1979)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 1973The Pricing of Options and Corporate Liabilities29,064 cited
  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2019A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective1,013 cited
  • 1977Early warning of bank failure960 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 1972An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction767 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1974Failing Company Discriminant Analysis617 cited
  • 2023Data collection and quality challenges in deep learning: a data-centric AI perspective570 cited

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1992
Neural Networks: A New Tool for Predicting Thrift Failures*
533 cited
  • 1993Forecasting with neural networks432 cited
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