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Artificial neural network and decision tree-based modelling of non-prosperity of companies
16 references·0 citing·33 second hop
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
  • 2023Evidence of questionable research practices in clinical prediction models140 cited
  • 2018Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis127 cited
  • 2004Upadłość przedsiębiorstwa - model analizy dyskryminacyjnej110 cited
  • 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods89 cited
  • 2020Support Vector Machine Methods and Artificial Neural Networks Used for the Development of Bankruptcy Prediction Models and their Comparison86 cited
  • 2018Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries79 cited
  • 2006Artificial neural networks and bankruptcy forecasting: a state of the art74 cited

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  • 2021Distinctive determinants of financial indebtedness: evidence from Slovak and Czech enterprises68 cited
  • 2021Majority voting ensemble with a decision trees for business failure prediction during economic downturns63 cited
  • 2021Financial Information Asymmetry: Using Deep Learning Algorithms to Predict Financial Distress61 cited
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