Jie Sun - RankMe

42 papers B 1C 1Journal 40

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Multi-class imbalanced enterprise credit evaluation based on asymmetric bagging combined with light gradient boosting machine. Appl. Soft Comput. Jie Sun, Jie Li, Hamido Fujita
2021	J	`jnl`	Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods. Inf. Sci. Jie Sun, Hamido Fujita, Yujiao Zheng, Wenguo Ai
2020	J	`jnl`	Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting. Inf. Fusion Jie Sun, Hui Li, Hamido Fujita, Binbin Fu, Wenguo Ai
2018	J	`jnl`	Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates. Inf. Sci. Jie Sun, Jie Lang, Hamido Fujita, Hui Li
2017	J	`jnl`	Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble. Knowl. Based Syst. Jie Sun, Hamido Fujita, Peng Chen, Hui Li
2016	J	`jnl`	The dynamic financial distress prediction method of EBW-VSTW-SVM. Enterp. Inf. Syst. Jie Sun, Hui Li, Pei-Chann Chang, Kai-Yu He
2015	J	`jnl`	Dynamic credit scoring using B & B with incremental-SVM-ensemble. Kybernetes Jie Sun, Hui Li, Pei-Chann Chang, Qing-Hua Huang
2014	J	`jnl`	Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods. J. Oper. Res. Soc. Jie Sun, Zhiming Shang, Hui Li
2014	J	`jnl`	Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches. Knowl. Based Syst. Jie Sun, Hui Li, Qing-Hua Huang, Kai-Yu He
2014	J	`jnl`	Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine. Appl. Soft Comput. Hui Li, Chang-Jiang Li, Xian-Jun Wu, Jie Sun
2014	J	`jnl`	The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process. Int. J. Syst. Sci. Hui Li, Jun-Ling Yu, Le-An Yu, Jie Sun
2013	J	`jnl`	Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction. IEEE Trans. Syst. Man Cybern. Syst. Jie Sun, Hui Li, Hojjat Adeli
2013	J	`jnl`	Forecasting business failure using two-stage ensemble of multivariate discriminant analysis and logistic regression. Expert Syst. J. Knowl. Eng. Hui Li, Jie Sun, Jicai Li, Xiu-Ying Yan
2013	J	`jnl`	Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms. Int. J. Syst. Sci. Hui Li, Diego Andina, Jie Sun
2012	J	`jnl`	Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness. Expert Syst. Appl. Hui Li, Jie Sun
2012	J	`jnl`	Financial distress prediction using support vector machines: Ensemble vs. individual. Appl. Soft Comput. Jie Sun, Hui Li
2012	J	`jnl`	Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis. Appl. Soft Comput. Hui Li, Jie Sun, Jian Wu, Xian-Jun Wu
2011	J	`jnl`	AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies. Expert Syst. Appl. Jie Sun, Ming-yue Jia, Hui Li
2011	J	`jnl`	Dynamic financial distress prediction using instance selection for the disposal of concept drift. Expert Syst. Appl. Jie Sun, Hui Li
2011	J	`jnl`	Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction. Expert Syst. Appl. Hui Li, Jie Sun
2011	J	`jnl`	Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction. Comput. Oper. Res. Hui Li, Hojjat Adeli, Jie Sun, Jian-Guang Han
2011	J	`jnl`	On performance of case-based reasoning in Chinese business failure prediction from sensitivity, specificity, positive and negative values. Appl. Soft Comput. Hui Li, Jie Sun
2011	J	`jnl`	Predicting business failure using forward ranking-order case-based reasoning. Expert Syst. Appl. Hui Li, Jie Sun
2011	J	`jnl`	Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study. Expert Syst. Appl. Hui Li, Jie Sun
2011	J	`jnl`	Principal component case-based reasoning ensemble for business failure prediction. Inf. Manag. Hui Li, Jie Sun
2011	J	`jnl`	SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams. Knowl. Based Syst. Jie Sun, Kai-Yu He, Hui Li
2011	J	`jnl`	The random subspace binary logit (RSBL) model for bankruptcy prediction. Knowl. Based Syst. Hui Li, Young-Chan Lee, Yan-Chun Zhou, Jie Sun
2010	J	`jnl`	Business failure prediction using hybrid Comput. Oper. Res. Hui Li, Jie Sun
2010	J	`jnl`	On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction. Expert Syst. Appl. Hui Li, Hai-Bin Huang, Jie Sun, Chuang Lin
2010	J	`jnl`	Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods. Expert Syst. Appl. Hui Li, Jie Sun, Jian Wu
2009	J	`jnl`	Financial distress early warning based on group decision making. Comput. Oper. Res. Jie Sun, Hui Li
2009	J	`jnl`	Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors. Expert Syst. Appl. Hui Li, Jie Sun, Bo-Liang Sun
2009	J	`jnl`	Financial distress prediction based on serial combination of multiple classifiers. Expert Syst. Appl. Jie Sun, Hui Li
2009	J	`jnl`	Gaussian case-based reasoning for business failure prediction with empirical data in China. Inf. Sci. Hui Li, Jie Sun
2009	J	`jnl`	Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II. Eur. J. Oper. Res. Hui Li, Jie Sun
2009	J	`jnl`	Majority voting combination of multiple case-based reasoning for financial distress prediction. Expert Syst. Appl. Hui Li, Jie Sun
2009	J	`jnl`	Predicting business failure using multiple case-based reasoning combined with support vector machine. Expert Syst. Appl. Hui Li, Jie Sun
2008	J	`jnl`	Data mining method for listed companies' financial distress prediction. Knowl. Based Syst. Jie Sun, Hui Li
2008	J	`jnl`	Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers. Expert Syst. Appl. Jie Sun, Hui Li
2008	J	`jnl`	Ranking-order case-based reasoning for financial distress prediction. Knowl. Based Syst. Hui Li, Jie Sun
2006	B	`conf`	An Application of Support Vector Machine to Companies' Financial Distress Prediction. MDAI Xiao-Feng Hui, Jie Sun
2006	C	`conf`	Financial Distress Prediction Based on Similarity Weighted Voting CBR. ADMA Jie Sun, Xiao-Feng Hui