袩褍斜谢懈泻邪褑懈懈 邪胁褌芯褉邪
BAISHOLANOVA, K.
袙褋械谐芯 锌褍斜谢懈泻邪褑懈泄
11
袥械褌 邪泻褌懈胁薪芯褋褌懈
4
孝懈锌芯胁 锌褍斜谢懈泻邪褑懈泄
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