Classification of Borrowers Using an Immune Model of Artificial Intelligence in Credit Scoring Tasks
Author:
Affiliation:
1. Omsk State Technical University,Department of Complex Information Security,Omsk,Russia
2. Omsk State Technical University,Multimedia Technology Department,Omsk,Russia
Funder
Ministry of Science and Higher Education of the Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10347555/10347542/10347877.pdf?arnumber=10347877
Reference50 articles.
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2. ОБЗОР МЕТОДОВ КРЕДИТНОГО СКОРИНГА
3. CATE: Contrastive augmentation and tree-enhanced embedding for credit scoring
4. Regulatory learning: How to supervise machine learning models? An application to credit scoring
5. An abstract model of an artificial immune network based on a classifier committee for biometric pattern recognition by the example of keystroke dynamics
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