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Multiclass Corporate Failure Prediction by Adaboost.M1
7 references·4 citing·28 second hop
Multiclass Corporate Failure Prediction by Adaboost.M1 (2007)Multiclass Corporate Failure Prediction b…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…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…Modeling and prediction of business success: a survey (2024)Modeling and prediction of bu…Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries (2021)Ensemble Model of the Financi…Evaluating Trust Prediction and Confusion Matrix Measures for Web Services Ranking (2020)Evaluating Trust Prediction a…Demonstrating non-inferiority of easy interpretable methods for insolvency prediction (2015)Demonstrating non-inferiority…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Positive Accounting Theory (1985)Forecasting with artificial neural networks: (1998)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Accuracy of machine learning models versus “hand crafted” expert systems – A credit scoring case study (2008)Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges (2017)Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction (2019)Financial Development, Growth, and the Distribution of Income (1990)The Theory of Economic Development (2003)Startup Survival Forecasting: A Multivariate AI Approach Based on Empirical Knowledge (2025)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk (2022)On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates (2022)An analytical approach to credit risk assessment using machine learning models (2025)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 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
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 1994Bankruptcy prediction using neural networks722 cited

Cited by

  • 2020Evaluating Trust Prediction and Confusion Matrix Measures for Web Services Ranking186 cited
  • 2021Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries41 cited
  • 2024Modeling and prediction of business success: a survey28 cited
  • 2015Demonstrating non-inferiority of easy interpretable methods for insolvency prediction24 cited

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