4.6 Article

Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China's SME credit risk in supply chain finance

Related references

Note: Only part of the references are listed.
Article Business, Finance

Credit risk assessment model for Jordanian commercial banks: Neural scoring approach

Hussain Ali Bekhet et al.

REVIEW OF DEVELOPMENT FINANCE (2014)

Article Engineering, Industrial

Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management

David A. Wuttke et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2013)

Article Operations Research & Management Science

A classification problem of credit risk rating investigated and solved by optimisation of the ROC curve

Efsun Kurum et al.

CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH (2012)

Article Computer Science, Artificial Intelligence

Using data mining to improve assessment of credit worthiness via credit scoring models

Bee Wah Yap et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Computer Science, Artificial Intelligence

An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring

Loris Nanni et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Computer Science, Artificial Intelligence

Using neural network ensembles for bankruptcy prediction and credit scoring

Chih-Fong Tsai et al.

EXPERT SYSTEMS WITH APPLICATIONS (2008)

Article Computer Science, Interdisciplinary Applications

Diversification for better classification trees

ZW Fu et al.

COMPUTERS & OPERATIONS RESEARCH (2006)

Article Business

Intelligent matching: integrating efficiencies in the financial supply chain

A Fairchild

SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL (2005)

Article Computer Science, Artificial Intelligence

Credit rating analysis with support vector machines and neural networks: a market comparative study

Z Huang et al.

DECISION SUPPORT SYSTEMS (2004)

Article Computer Science, Artificial Intelligence

MultiBoosting: A technique for combining boosting and wagging

GI Webb

MACHINE LEARNING (2000)

Article Computer Science, Interdisciplinary Applications

Neural network credit scoring models

D West

COMPUTERS & OPERATIONS RESEARCH (2000)