Financial Distress Prediction Based on Similarity Weighted Voting CBR. - Jie Sun 002; Xiao-Feng Hui (ADMA, 2006)

An Application of Support Vector Machine to Companies' Financial Distress Prediction. - Xiao-Feng Hui; Jie Sun 002 (MDAI, 2006)

Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers. - Jie Sun 002; Hui Li 001 (Expert Syst. Appl., 2008)

Ranking-order case-based reasoning for financial distress prediction. - Hui Li 001; Jie Sun 002 (Knowl. Based Syst., 2008)

Data mining method for listed companies' financial distress prediction. - Jie Sun 002; Hui Li 001 (Knowl. Based Syst., 2008)

Financial distress early warning based on group decision making. - Jie Sun 002; Hui Li 001 (Comput. Oper. Res., 2009)

Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II. - Hui Li 001; Jie Sun 002 (Eur. J. Oper. Res., 2009)

Predicting business failure using multiple case-based reasoning combined with support vector machine. - Hui Li 001; Jie Sun 002 (Expert Syst. Appl., 2009)

Majority voting combination of multiple case-based reasoning for financial distress prediction. - Hui Li 001; Jie Sun 002 (Expert Syst. Appl., 2009)

Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors. - Hui Li 001; Jie Sun 002; Bo-Liang Sun (Expert Syst. Appl., 2009)

Financial distress prediction based on serial combination of multiple classifiers. - Jie Sun 002; Hui Li 001 (Expert Syst. Appl., 2009)

Gaussian case-based reasoning for business failure prediction with empirical data in China. - Hui Li 001; Jie Sun 002 (Inf. Sci., 2009)

Business failure prediction using hybrid2 case-based reasoning (H2CBR). - Hui Li 001; Jie Sun 002 (Comput. Oper. Res., 2010)

On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction. - Hui Li 001; Hai-Bin Huang; Jie Sun 002; Chuang Lin 001 (Expert Syst. Appl., 2010)

Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods. - Hui Li 001; Jie Sun 002; Jian Wu 003 (Expert Syst. Appl., 2010)

On performance of case-based reasoning in Chinese business failure prediction from sensitivity, specificity, positive and negative values. - Hui Li 001; Jie Sun 002 (Appl. Soft Comput., 2011)

Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction. - Hui Li 001; Hojjat Adeli; Jie Sun 002; Jian-Guang Han (Comput. Oper. Res., 2011)

Predicting business failure using forward ranking-order case-based reasoning. - Hui Li 001; Jie Sun 002 (Expert Syst. Appl., 2011)

Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction. - Hui Li 001; Jie Sun 002 (Expert Syst. Appl., 2011)

Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study. - Hui Li 001; Jie Sun 002 (Expert Syst. Appl., 2011)

AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies. - Jie Sun 002; Ming-yue Jia; Hui Li 001 (Expert Syst. Appl., 2011)

Dynamic financial distress prediction using instance selection for the disposal of concept drift. - Jie Sun 002; Hui Li 001 (Expert Syst. Appl., 2011)

Principal component case-based reasoning ensemble for business failure prediction. - Hui Li 001; Jie Sun 002 (Inf. Manag., 2011)

The random subspace binary logit (RSBL) model for bankruptcy prediction. - Hui Li 001; Young-Chan Lee; Yan-Chun Zhou; Jie Sun 002 (Knowl. Based Syst., 2011)

SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams. - Jie Sun 002; Kai-Yu He; Hui Li 001 (Knowl. Based Syst., 2011)

Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis. - Hui Li 001; Jie Sun 002; Jian Wu 003; Xian-Jun Wu (Appl. Soft Comput., 2012)

Financial distress prediction using support vector machines: Ensemble vs. individual. - Jie Sun 002; Hui Li 001 (Appl. Soft Comput., 2012)

Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness. - Hui Li 001; Jie Sun 002 (Expert Syst. Appl., 2012)

Forecasting business failure using two-stage ensemble of multivariate discriminant analysis and logistic regression. - Hui Li 001; Jie Sun 002; Jicai Li; Xiu-Ying Yan (Expert Syst. J. Knowl. Eng., 2013)

Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms. - Hui Li 001; Diego Andina; Jie Sun 002 (Int. J. Syst. Sci., 2013)

Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction. - Jie Sun 002; Hui Li 001; Hojjat Adeli (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine. - Hui Li 001; Chang-Jiang Li; Xian-Jun Wu; Jie Sun 002 (Appl. Soft Comput., 2014)

The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process. - Hui Li 001; Jun-Ling Yu; Le-An Yu; Jie Sun 002 (Int. J. Syst. Sci., 2014)

Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods. - Jie Sun 002; Zhiming Shang; Hui Li 001 (J. Oper. Res. Soc., 2014)

Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches. - Jie Sun 002; Hui Li 001; Qing-Hua Huang; Kai-Yu He (Knowl. Based Syst., 2014)

Dynamic credit scoring using B & B with incremental-SVM-ensemble. - Jie Sun 002; Hui Li 001; Pei-Chann Chang; Qing-Hua Huang (Kybernetes, 2015)

The dynamic financial distress prediction method of EBW-VSTW-SVM. - Jie Sun 002; Hui Li 001; Pei-Chann Chang; Kai-Yu He (Enterp. Inf. Syst., 2016)

Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble. - Jie Sun 002; Hamido Fujita; Peng Chen; Hui Li 001 (Knowl. Based Syst., 2017)

Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates. - Jie Sun 002; Jie Lang; Hamido Fujita; Hui Li 001 (Inf. Sci., 2018)

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting. - Jie Sun 002; Hui Li 001; Hamido Fujita; Binbin Fu; Wenguo Ai (Inf. Fusion, 2020)

Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods. - Jie Sun 002; Hamido Fujita; Yujiao Zheng; Wenguo Ai (Inf. Sci., 2021)

Multi-class imbalanced enterprise credit evaluation based on asymmetric bagging combined with light gradient boosting machine. - Jie Sun 002; Jie Li; Hamido Fujita (Appl. Soft Comput., 2022)