has been cited by the following article(s):
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[1]
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Optimizing Financial Engineering Time Indicator Using Bionics Computation Algorithm and Neural Network Deep Learning
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Computational Economics,
2022 |
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[2]
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Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment
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Proceedings of the …,
2022 |
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[3]
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A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment
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2022 IEEE 46th …,
2022 |
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[4]
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Default Prediction for Loan Lenders Using Machine Learning Algorithms
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SLU Journal of Science and …,
2022 |
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[5]
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A longitudinal systematic review of credit risk assessment and credit default predictors
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Sage Open,
2021 |
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[6]
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A qualitative study on entrepreneurs' characteristics and organizational factors affecting digitalization in smes: A sampling of Yalova
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Journal Of Mehmet Akif …,
2020 |
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[7]
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A QUALITATIVE STUDY ON ENTREPRENEURS'CHARACTERISTICS AND ORGANIZATIONAL FACTORS AFFECTING DIGITALIZATION IN SMES: A SAMPLING OF …
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2020 |
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[8]
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Spectral Clustering and Cost-Sensitive Deep Neural Network-Based Undersampling Approach for P2P Lending Data
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2020 |
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[9]
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Research on Default Risk of Peer-To-Peer Online Lending Based on Data Mining Algorithm
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2020 |
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[10]
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A DBM-Based Ensemble Method for Improving Default Risk Prediction of Peer-to-Peer (P2P) Lending
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International Journal of e-Education, e-Business, e-Management and e-Learning,
2020 |
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[11]
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A psychometric and financial factors based framework suggestion for an integrated credit risk assessment information system= Entegre kredi risk değerlendirme bilgi …
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2019 |
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[12]
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Rule-based Credit Risk Assessment Model Using Multi-Objective Evolutionary Algorithms
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2019 |
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[13]
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An ensemble semi-supervised learning method for predicting defaults in social lending
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2019 |
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[14]
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A psychometric and financial factors based framework suggestion for an integrated credit risk assessment information system
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2019 |
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[15]
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Sustainable co-training of mixture-of-experts for credit scoring of borrowers in social lending
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IJBT,
2018 |
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[16]
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CREDIT SCORING BY USING GENERALIZED MODELS: AN IMPLEMENTATION ON TURKEY'S SMEs
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Journal of Economics Finance and Accounting,
2017 |
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[1]
|
Optimizing Financial Engineering Time Indicator Using Bionics Computation Algorithm and Neural Network Deep Learning
Computational Economics,
2022
DOI:10.1007/s10614-022-10253-7
|
|
|
|
|
[2]
|
A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),
2022
DOI:10.1109/COMPSAC54236.2022.00249
|
|
|
|
|
[3]
|
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022
DOI:10.1145/3520304.3528924
|
|
|
|
|
[4]
|
A Longitudinal Systematic Review of Credit Risk Assessment and Credit Default Predictors
Sage Open,
2021
DOI:10.1177/21582440211061333
|
|
|
|
|
[5]
|
Rule-based credit risk assessment model using multi-objective evolutionary algorithms
Expert Systems with Applications,
2019
DOI:10.1016/j.eswa.2019.01.078
|
|
|
|
|
[6]
|
An ensemble semi-supervised learning method for predicting defaults in social lending
Engineering Applications of Artificial Intelligence,
2019
DOI:10.1016/j.engappai.2019.02.014
|
|
|
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