References

• 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
• 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
• 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
• 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
• 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
• 2019Circular economy transition in Italy. Achievements, perspectives and constraints378 cited
• 2018Forecasting stock market crisis events using deep and statistical machine learning techniques303 cited
• 2016Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble173 cited
• 2019A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction169 cited
• 2020Machine learning as an early warning system to predict financial crisis167 cited
• 2020Predicting bank insolvencies using machine learning techniques164 cited
• 2019Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?141 cited
• 2018Financial crisis prediction model using ant colony optimization139 cited