袗胁褌芯褉写褘遥 卸邪褉懈褟谢邪薪褘屑写邪褉褘
Baisholanova, K.
袘邪褉谢褘覜 卸邪褉懈褟谢邪薪褘屑写邪褉
11
袘械谢褋械薪写褨谢褨泻 卸褘谢写邪褉褘
4
袞邪褉懈褟谢邪薪褘屑 褌爷褉谢械褉褨
3
2025 (6)
- FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets
- Investigating the Relationship between Energy Consumption and Economic Growth Using Toda-Yamamoto Causality Test: The Case of Kazakhstan and Azerbaijan
- Asymmetric Relationship between Oil Prices, Agricultural Production, and Industrial Production in Kazakhstan: Application of the NARDL Method
- A Systematic Review of Machine Learning in Credit Card Fraud Detection Under Original Class Imbalance
- Anomaly Detection in Imbalanced Datasets Using FraudX AI
- FraudX SimS: A Synthetic Dataset for Anomaly Detection in Payment-Card Transactions