Credit risk assessment of high-tech enterprises based on RSNCL-ANN ensemble model

Proceedings of 2018 International Conference on Mathematics and Artificial Intelligence - ICMAI '18 ◽

10.1145/3208788.3208801 ◽

2018 ◽

Author(s):

Maoguang Wang ◽

Jiayu Yu ◽

Zijian Ji

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

High Tech ◽

Ensemble Model ◽

Credit Risk Assessment

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An artificial neural network-based ensemble model for credit risk assessment and deployment as a graphical user interface

International Journal of Data Mining Modelling and Management ◽

10.1504/ijdmmm.2017.085643 ◽

2017 ◽

Vol 9 (2) ◽

pp. 122

Author(s):

Biplab Bhattacharjee ◽

Amulyashree Sridhar ◽

Muhammad Shafi

Keyword(s):

Neural Network ◽

Risk Assessment ◽

Artificial Neural Network ◽

User Interface ◽

Credit Risk ◽

Graphical User Interface ◽

Ensemble Model ◽

Credit Risk Assessment ◽

Artificial Neural

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Personal Credit Risk Assessment Based on Stacking Ensemble Model

IFIP Advances in Information and Communication Technology - Intelligent Information Processing IX ◽

10.1007/978-3-030-00828-4_33 ◽

2018 ◽

pp. 328-333

Author(s):

Maoguang Wang ◽

Jiayu Yu ◽

Zijian Ji

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Ensemble Model ◽

Credit Risk Assessment ◽

Personal Credit

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An artificial neural network-based ensemble model for credit risk assessment and deployment as a graphical user interface

International Journal of Data Mining Modelling and Management ◽

10.1504/ijdmmm.2017.10006638 ◽

2017 ◽

Vol 9 (2) ◽

pp. 122 ◽

Author(s):

Amulyashree Sridhar ◽

Muhammad Shafi ◽

Biplab Bhattacharjee

Keyword(s):

Neural Network ◽

Risk Assessment ◽

Artificial Neural Network ◽

User Interface ◽

Credit Risk ◽

Graphical User Interface ◽

Ensemble Model ◽

Credit Risk Assessment ◽

Artificial Neural

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Financial Inclusion as a Fairness Criterion in Credit Risk Assessment

SSRN Electronic Journal ◽

10.2139/ssrn.3579695 ◽

2020 ◽

Author(s):

Tarunima Prabhakar ◽

Steven Weber

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Financial Inclusion ◽

Credit Risk Assessment

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Research and Design of Credit Risk Assessment System Based on Big Data and Machine Learning

2021 IEEE 6th International Conference on Big Data Analytics (ICBDA) ◽

10.1109/icbda51983.2021.9403128 ◽

2021 ◽

Author(s):

Song Wen ◽

Bi Zeng ◽

Wenxiong Liao ◽

Pengfei Wei ◽

Zhihao Pan

Keyword(s):

Machine Learning ◽

Risk Assessment ◽

Big Data ◽

Credit Risk ◽

Assessment System ◽

Credit Risk Assessment ◽

Research And Design

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Enterprise Credit Risk Assessment Using Feature Selection Approach and Ensemble Learning Technique

2020 16th International Conference on Computational Intelligence and Security (CIS) ◽

10.1109/cis52066.2020.00056 ◽

2020 ◽

Author(s):

Di Wang ◽

Zuoquan Zhang

Keyword(s):

Risk Assessment ◽

Feature Selection ◽

Credit Risk ◽

Ensemble Learning ◽

Credit Risk Assessment ◽

Enterprise Credit ◽

Selection Approach ◽

Learning Technique ◽

Feature Selection Approach

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A Two-Stage Dynamic Credit Risk Assessment System

Proceedings of the 2020 4th International Conference on Deep Learning Technologies (ICDLT) ◽

10.1145/3417188.3417193 ◽

2020 ◽

Author(s):

Rui Li ◽

Shizhe Deng ◽

Jianquan Zhang ◽

Hao He ◽

Yaohui Jin ◽

...

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Assessment System ◽

Two Stage ◽

Credit Risk Assessment

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A random thinning model with a latent factor for improvement of top-down credit risk assessment

JSIAM Letters ◽

10.14495/jsiaml.8.37 ◽

2016 ◽

Vol 8 (0) ◽

pp. 37-40 ◽

Author(s):

Suguru Yamanaka ◽

Hidetoshi Nakagawa ◽

Masaaki Sugihara

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Top Down ◽

Latent Factor ◽

Credit Risk Assessment ◽

Random Thinning

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Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment

Expert Systems with Applications ◽

10.1016/j.eswa.2012.05.023 ◽

2012 ◽

Vol 39 (16) ◽

pp. 12605-12617 ◽

Author(s):

Stjepan Oreski ◽

Dijana Oreski ◽

Goran Oreski

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Credit Risk ◽

Hybrid System ◽

Credit Risk Assessment ◽

Retail Credit ◽

Artificial Neural

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Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions

Expert Systems with Applications ◽

10.1016/j.eswa.2013.01.044 ◽

2013 ◽

Vol 40 (11) ◽

pp. 4404-4413 ◽

Author(s):

Terry Harris

Keyword(s):

Risk Assessment ◽

Support Vector Machines ◽

Credit Risk ◽

Support Vector ◽

Credit Risk Assessment ◽

Vector Machines

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