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The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia
16 references·0 citing·27 second hop
The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia (2025)The possibilities of using AutoML in bank…Corporate finance risk prediction based on LightGBM (2022)Corporate finance risk predic…Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Bankruptcy Prediction using t…CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)CatBoost model and artificial…Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2020)Bankruptcy prediction for SME…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Financial ratios and corporat…Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Ensemble boosted trees with s…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Financial distress prediction using support vector machines: Ensemble vs. individual (2012)Financial distress prediction…Toward a Better Understanding of Model Validation Metrics (2011)Toward a Better Understanding…Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)Predicting corporate financia…Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks (2009)Comparing four bankruptcy pre…Empirical models for the monitoring of UK corporations (1984)Empirical models for the moni…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…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)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Financial distress prediction: The case of French small and medium-sized firms (2017)Financial crisis prediction model using ant colony optimization (2018)Corporate Ownership Around the World (1999)Financial applications of machine learning: A literature review (2023)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine Learning in Banking Risk Management: A Literature Review (2019)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Credit risk measurement: Developments over the last 20 years (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)How does financial literacy impact on inclusive finance? (2021)Cryptocurrency trading: a comprehensive survey (2022)Survey of feature selection and extraction techniques for stock market prediction (2023)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Deep learning models for bankruptcy prediction using textual disclosures (2018)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2018)Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions (2023)
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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
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2017Machine learning models and bankruptcy prediction952 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
  • 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study399 cited
  • 2021CatBoost model and artificial intelligence techniques for corporate failure prediction397 cited
  • 2020Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection381 cited
  • 2011Predicting corporate financial distress based on integration of decision tree classification and logistic regression248 cited
  • 2022Corporate finance risk prediction based on LightGBM231 cited
  • 1984Empirical models for the monitoring of UK corporations218 cited
  • 2022Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering204 cited
  • 2011Toward a Better Understanding of Model Validation Metrics

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175 cited
  • 2009Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks164 cited
  • 2012Financial distress prediction using support vector machines: Ensemble vs. individual153 cited
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