Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods

16 references·9 citing·24 second hop

FromToDepth

this work references cited by second hop

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
1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
1998Data mining for direct marketing: problems and solutions658 cited
2002A genetic algorithm application in bankruptcy prediction modeling386 cited
2005A new fuzzy support vector machine to evaluate credit risk383 cited
2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
2001Tests of the generalizability of Altman's bankruptcy prediction model360 cited
2004Neural network ensemble strategies for financial decision applications332 cited
1991Neural network models and the prediction of bank bankruptcy301 cited
2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey286 cited
2008Using neural networks and data mining techniques for the financial distress prediction model

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

283 cited

2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction277 cited

1997Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis273 cited

Cited by

2022Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine47 cited
2019Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision42 cited
2022Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost40 cited
2022Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples34 cited
2022Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk27 cited
2019Predicting firm failure in the software industry25 cited
2015Support Vector Machine Ensemble Based on Choquet Integral for Financial Distress Prediction21 cited
2023Class‐imbalanced financial distress prediction with machine learning: Incorporating financial, management, textual, and social responsibility features into index system20 cited
2025Ensemble learning algorithms based on easyensemble sampling for financial distress prediction19 cited