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A semi-deterministic ensemble strategy for imbalanced datasets (SDEID) applied to bankruptcy prediction
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A semi-deterministic ensemble strategy for imbalanced datasets (SDEID) applied to bankruptcy prediction (2008)A semi-deterministic ensemble strategy fo…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Building credit scoring models using genetic programming (2005)Building credit scoring model…35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)35 years of studies on busine…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…35 years of studies on business failure: an overview of the classical statistical methodologiesand their related problems (2004)35 years of studies on busine…Data preparation for data mining (1999)Data preparation for data min…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Neural network credit scoring models (2000)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Comparative analysis of data mining methods for bankruptcy prediction (2011)Machine Learning in Financial Crisis Prediction: A Survey (2011)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Machine behaviour (2019)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)A comparison of neural networks and linear scoring models in the credit union environment (1996)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Conditional logit analysis of qualitative choice behavior (1972)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Exporters, importers and credit constraints (2014)Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Exploratory Data Mining and Data Cleaning (2003)Big data preprocessing: methods and prospects (2016)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Assessing viability of Finnish reorganization and bankruptcy firms (2010)Modeling credit scoring using neural network ensembles (2014)Innovations in Financial Management: Recursive Prediction Model Based on Decision Trees (2020)A Better Comparison Summary of Credit Scoring Classification (2017)
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References

  • 1999Data preparation for data mining1,368 cited
  • 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems795 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 200435 years of studies on business failure: an overview of the classical statistical methodologiesand their related problems50 cited
  • 2004Neural network ensemble strategies for financial decision applications19 cited

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