标题
Personal Credit Default Discrimination Model Based on Super Learner Ensemble
作者
关键词
-
出版物
MATHEMATICAL PROBLEMS IN ENGINEERING
Volume 2021, Issue -, Pages 1-16
出版商
Hindawi Limited
发表日期
2021-04-01
DOI
10.1155/2021/5586120
参考文献
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- (2020) Ményssa Cherifa et al. ANESTHESIA AND ANALGESIA
- Performance optimization for a novel combined cooling, heating and power-organic Rankine cycle system with improved following electric load strategy based on different objectives
- (2020) Zhonghe Han et al. ENERGY CONVERSION AND MANAGEMENT
- Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods
- (2019) Cheng Ju et al. JOURNAL OF APPLIED STATISTICS
- Integration of Unsupervised and Supervised Machine Learning Algorithms for Credit Risk Assessment
- (2019) Bao Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Two-stage consumer credit risk modelling using heterogeneous ensemble learning
- (2019) Monika Papouskova et al. DECISION SUPPORT SYSTEMS
- A dynamic ensemble learning algorithm for neural networks
- (2019) Kazi Md. Rokibul Alam et al. NEURAL COMPUTING & APPLICATIONS
- Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
- (2019) Paweł Pławiak et al. APPLIED SOFT COMPUTING
- A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation
- (2019) Hui Lin et al. Scientific Reports
- DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
- (2019) Paweł Pławiak et al. INFORMATION SCIENCES
- Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation
- (2018) Richard Wyss et al. EPIDEMIOLOGY
- Stacked generalization: an introduction to super learning
- (2018) Ashley I. Naimi et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- A novel ensemble method for credit scoring: Adaption of different imbalance ratios
- (2018) Hongliang He et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel heterogeneous ensemble credit scoring model based on bstacking approach
- (2018) Yufei Xia et al. EXPERT SYSTEMS WITH APPLICATIONS
- Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates
- (2018) Jie Sun et al. INFORMATION SCIENCES
- Heterogeneous Ensemble for Default Prediction of Peer-to-Peer Lending in China
- (2018) Wei Li et al. IEEE Access
- A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring
- (2018) Wenyu Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic selection of molecular descriptors using random forest: Application to drug discovery
- (2017) Gaspar Cano et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classifiers consensus system approach for credit scoring
- (2016) Maher Ala'raj et al. KNOWLEDGE-BASED SYSTEMS
- The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching
- (2016) Romain Pirracchio et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
- (2015) Stefan Lessmann et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A novel multistage deep belief network based extreme learning machine ensemble learning paradigm for credit risk assessment
- (2015) Lean Yu et al. Flexible Services and Manufacturing Journal
- A new boosting design of Support Vector Machine classifiers
- (2015) Efraín Mayhua-López et al. Information Fusion
- A comparative study of classifier ensembles for bankruptcy prediction
- (2014) Chih-Fong Tsai et al. APPLIED SOFT COMPUTING
- Modeling credit scoring using neural network ensembles
- (2014) Chih-Fong Tsai et al. KYBERNETES
- Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study
- (2014) Diego S.C. Nascimento et al. NEUROCOMPUTING
- Mortality Risk Score Prediction in an Elderly Population Using Machine Learning
- (2013) Sherri Rose AMERICAN JOURNAL OF EPIDEMIOLOGY
- Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring
- (2013) Joaquín Abellán et al. EXPERT SYSTEMS WITH APPLICATIONS
- Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment
- (2012) Stjepan Oreski et al. EXPERT SYSTEMS WITH APPLICATIONS
- Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes
- (2010) Adnan Khashman EXPERT SYSTEMS WITH APPLICATIONS
- A comparative assessment of ensemble learning for credit scoring
- (2010) Gang Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Subagging for credit scoring models
- (2009) Giuseppe Paleologo et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A data driven ensemble classifier for credit scoring analysis
- (2009) Nan-Chen Hsieh et al. EXPERT SYSTEMS WITH APPLICATIONS
- An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
- (2008) Loris Nanni et al. EXPERT SYSTEMS WITH APPLICATIONS
- The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients
- (2008) I-Cheng Yeh et al. EXPERT SYSTEMS WITH APPLICATIONS
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