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Two‐stage hybrid learning techniques for bankruptcy prediction*
16 references·2 citing·39 second hop
Two‐stage hybrid learning techniques for bankruptcy prediction* (2020)Two‐stage hybrid learning techniques for …An investigation of bankruptcy prediction in imbalanced datasets (2018)An investigation of bankruptc…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Classifiers consensus system approach for credit scoring (2016)Classifiers consensus system …A deep learning approach for credit scoring using credit default swaps (2016)A deep learning approach for …Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Variable selection and corporate bankruptcy forecasts (2014)Variable selection and corpor…The effect of feature selection on financial distress prediction (2014)The effect of feature selecti…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…A comparative study of classifier ensembles for bankruptcy prediction (2014)A comparative study of classi…Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2013)Predicting financial distress…Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…Comparative analysis of data mining methods for bankruptcy prediction (2011)Comparative analysis of data …Fuzzy Support Vector Machine for bankruptcy prediction (2010)Fuzzy Support Vector Machine …Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)Bankruptcy forecasting: An em…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…Corporate financial distress prediction: a machine learning approach in the era of big data (2025)Corporate financial distress …Bankruptcy Prediction using Diverse Machine Learning Algorithms (2022)Bankruptcy Prediction using D…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Deep learning models for bankruptcy prediction using textual disclosures (2018)Conditional logit analysis of qualitative choice behavior (1972)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Exploring the sources of default clustering (2018)Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020)A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Ensemble with neural networks for bankruptcy prediction (2009)Stock market index prediction using artificial neural network (2016)Corporate bankruptcy prediction: a high dimensional analysis (2017)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)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)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting with artificial neural networks: (1998)An optimized model using LSTM network for demand forecasting (2020)Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Deep learning for financial applications : A survey (2020)A data-driven approach to predict the success of bank telemarketing (2014)Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2018)Utilization of artificial intelligence in the banking sector: a systematic literature review (2022)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)Machine Learning in Banking Risk Management: A Literature Review (2019)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 2014Variable selection and corporate bankruptcy forecasts276 cited
  • 2014The effect of feature selection on financial distress prediction234 cited
  • 2016Classifiers consensus system approach for credit scoring202 cited
  • 2014A comparative study of classifier ensembles for bankruptcy prediction201 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 2016A deep learning approach for credit scoring using credit default swaps196 cited

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  • 2018An investigation of bankruptcy prediction in imbalanced datasets185 cited
  • 2010Fuzzy Support Vector Machine for bankruptcy prediction174 cited
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    • 2025Corporate financial distress prediction: a machine learning approach in the era of big data11 cited
    • 2022Bankruptcy Prediction using Diverse Machine Learning Algorithms10 cited