has been cited by the following article(s):
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[1]
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Optimizing Loan Approval with Credit Risk Intelligence using GEO Tagging and Machine Learning Approach
2025 IEEE International Conference on Next-Gen Technologies of Artificial Intelligence and Geoscience Remote Sensing (EarthSense),
2025
DOI:10.1109/EarthSense66084.2025.11297337
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[2]
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Economic insights into credit risk: a deep learning model for predicting loan repayment capacity
PeerJ Computer Science,
2025
DOI:10.7717/peerj-cs.3339
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[3]
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Loan Defaulter Prediction using Machine Learning: A Comparative Analysis with Explainability Insights
2025 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS),
2025
DOI:10.1109/ICUIS67429.2025.11380481
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[4]
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Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias
The 2024 ACM Conference on Fairness, Accountability, and Transparency,
2024
DOI:10.1145/3630106.3659029
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[5]
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Effective Machine Learning-Based Predictive Analytics for Loan Default Prediction in Banking Sector
2024 International Conference on Communication, Control, and Intelligent Systems (CCIS),
2024
DOI:10.1109/CCIS63231.2024.10931843
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[6]
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Credit Score Analysis Using Machine Learning
2023 International Conference on Networking and Communications (ICNWC),
2023
DOI:10.1109/ICNWC57852.2023.10127493
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[7]
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Personal Loan Default Prediction and Impact Analysis of Debt-to-Income Ratio
2023 8th International Conference on Information Technology Research (ICITR),
2023
DOI:10.1109/ICITR61062.2023.10382822
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