Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers
出版年份 2021 全文链接
标题
Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers
作者
关键词
Bankruptcy prediction, Financial failure prediction, Unbalanced data classification, False positive rate, False negative rate
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 185, Issue -, Pages 115559
出版商
Elsevier BV
发表日期
2021-07-17
DOI
10.1016/j.eswa.2021.115559
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- The impact of class imbalance in classification performance metrics based on the binary confusion matrix
- (2019) Amalia Luque et al. PATTERN RECOGNITION
- Example-dependent cost-sensitive adaptive boosting
- (2019) Yuri Zelenkov EXPERT SYSTEMS WITH APPLICATIONS
- Dynamic ensemble classification for credit scoring using soft probability
- (2018) Xiaodong Feng et al. APPLIED SOFT COMPUTING
- An investigation of bankruptcy prediction in imbalanced datasets
- (2018) David Veganzones et al. DECISION SUPPORT SYSTEMS
- Systematic review of bankruptcy prediction models: Towards a framework for tool selection
- (2018) Hafiz A. Alaka et al. EXPERT SYSTEMS WITH APPLICATIONS
- Investigating the impact of selection criteria in dynamic ensemble selection methods
- (2018) Jose Augusto S. Lustosa Filho et al. EXPERT SYSTEMS WITH APPLICATIONS
- Dynamic classifier selection: Recent advances and perspectives
- (2018) Rafael M.O. Cruz et al. Information Fusion
- A study on combining dynamic selection and data preprocessing for imbalance learning
- (2018) Anandarup Roy et al. NEUROCOMPUTING
- Handling data irregularities in classification: Foundations, trends, and future challenges
- (2018) Swagatam Das et al. PATTERN RECOGNITION
- Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset
- (2018) Tuong Le et al. Symmetry-Basel
- The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles
- (2017) Koen W. De Bock EXPERT SYSTEMS WITH APPLICATIONS
- Two-step classification method based on genetic algorithm for bankruptcy forecasting
- (2017) Yuri Zelenkov et al. EXPERT SYSTEMS WITH APPLICATIONS
- Learning from class-imbalanced data: Review of methods and applications
- (2017) Guo Haixiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Machine learning models and bankruptcy prediction
- (2017) Flavio Barboza et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Survey of Predictive Modeling on Imbalanced Domains
- (2016) Paula Branco et al. ACM COMPUTING SURVEYS
- Financial distress prediction using the hybrid associative memory with translation
- (2016) L. Cleofas-Sánchez et al. APPLIED SOFT COMPUTING
- A two-stage classification technique for bankruptcy prediction
- (2016) Philippe du Jardin EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study
- (2016) Deron Liang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction
- (2016) Hyun-Jung Kim et al. EXPERT SYSTEMS WITH APPLICATIONS
- Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
- (2016) Maciej Zięba et al. EXPERT SYSTEMS WITH APPLICATIONS
- Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data
- (2016) Zhongliang Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Cost-sensitive boosting algorithms: Do we really need them?
- (2016) Nikolaos Nikolaou et al. MACHINE LEARNING
- Financial credit risk assessment: a recent review
- (2015) Ning Chen et al. ARTIFICIAL INTELLIGENCE REVIEW
- Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction
- (2015) Myoung-Jong Kim et al. EXPERT SYSTEMS WITH APPLICATIONS
- AdaBoost based bankruptcy forecasting of Korean construction companies
- (2014) Junyoung Heo et al. APPLIED SOFT COMPUTING
- An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
- (2014) Vicente García et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Dynamic selection of classifiers—A comprehensive review
- (2014) Alceu S. Britto et al. PATTERN RECOGNITION
- Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods
- (2013) Ligang Zhou KNOWLEDGE-BASED SYSTEMS
- Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data
- (2013) C. L. Castro et al. IEEE Transactions on Neural Networks and Learning Systems
- Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches
- (2011) Mu-Yen Chen COMPUTERS & MATHEMATICS WITH APPLICATIONS
- A genetic algorithm-based approach to cost-sensitive bankruptcy prediction
- (2011) Ning Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now