An Overview of Personal Credit Scoring: Techniques and Future Work

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International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
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E-mail: ijis@scirp.org

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"An Overview of Personal Credit Scoring: Techniques and Future Work"
written by Xiao-Lin Li, Yu Zhong,
published by International Journal of Intelligence Science, Vol.2 No.4A, 2012

has been cited by the following article(s):

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[2]	Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023 DOI:10.1109/SSCI52147.2023.10371827

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[6]	Assessing credit risk of commercial customers using hybrid machine learning algorithms Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2022.116889

[7]	Assessing credit risk of commercial customers using hybrid machine learning algorithms Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2022.116889

[8]	Assessing credit risk of commercial customers using hybrid machine learning algorithms Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2022.116889

[9]	A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods Computers & Operations Research, 2021 DOI:10.1016/j.cor.2021.105223

[10]	A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods Computers & Operations Research, 2021 DOI:10.1016/j.cor.2021.105223

[11]	Modelling Interaction Effects by Using Extended WOE Variables with Applications to Credit Scoring Mathematics, 2021 DOI:10.3390/math9161903

[12]	Application of credit‐scoring methods in a decision support system of investment for peer‐to‐peer lending International Transactions in Operational Research, 2021 DOI:10.1111/itor.13064

[13]	"Machine Learning applied to credit analysis: a Systematic Literature Review" 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021 DOI:10.23919/CISTI52073.2021.9476350

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[17]	Multivariate time series classification analysis: State-of-the-art and future challenges IOP Conference Series: Materials Science and Engineering, 2019 DOI:10.1088/1757-899X/536/1/012003

[18]	A Metaheuristic Strategy for Feature Selection Problems: Application to Credit Risk Evaluation in Emerging Markets 2019 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2019 DOI:10.1109/CIFEr.2019.8759117

[19]	Island Model Genetic Algorithm for Feature Selection in Non-Traditional Credit Risk Evaluation 2019 IEEE Congress on Evolutionary Computation (CEC), 2019 DOI:10.1109/CEC.2019.8790057

[20]	Modified Average of the Base-Level Models in the Hill-Climbing Bagged Ensemble Selection Algorithm for Credit Scoring Procedia Computer Science, 2019 DOI:10.1016/j.procs.2019.08.162

[21]	Computational Statistics and Mathematical Modeling Methods in Intelligent Systems Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-3-030-31362-3_22

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[24]	Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers Expert Systems, 2018 DOI:10.1111/exsy.12363

[25]	Alternative Scoring Factors using Non-Financial Data for Credit Decisions in Agricultural Microfinance 2018 IEEE International Systems Engineering Symposium (ISSE), 2018 DOI:10.1109/SysEng.2018.8544442

[26]	Predictive analytics for loan default in banking sector using machine learning techniques 2018 28th International Conference on Computer Theory and Applications (ICCTA), 2018 DOI:10.1109/ICCTA45985.2018.9499147

[27]	Extreme learning machines for credit scoring: An empirical evaluation Expert Systems with Applications, 2017 DOI:10.1016/j.eswa.2017.05.050

[28]	Credit decision tool using mobile application data for microfinance in agriculture 2017 IEEE International Conference on Big Data (Big Data), 2017 DOI:10.1109/BigData.2017.8258519

[29]	The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017 DOI:10.11118/actaun201765020759

[30]	The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017 DOI:10.11118/actaun201765020759

[31]	Economic Adjustment of Default Probabilities European Journal of Business Science and Technology, 2016 DOI:10.11118/ejobsat.v2i2.64

[32]	Economic Adjustment of Default Probabilities European Journal of Business Science and Technology, 2016 DOI:10.11118/ejobsat.v2i2.64

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[36]	Economic Adjustment of Default Probabilities European Journal of Business Science and Technology, 2016 DOI:10.11118/ejobsat.v2i2.64

[37]	Fuzzy model Takagi Sugeno with structured evolution for determining consumer credit score 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015 DOI:10.1109/CISTI.2015.7170485

[38]	Innovations in Intelligent Machines-4 Studies in Computational Intelligence, 2014 DOI:10.1007/978-3-319-01866-9_10

[39]	Innovations in Intelligent Machines-4 Studies in Computational Intelligence, 2014 DOI:10.1007/978-3-319-01866-9_10

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