Author:
Nur Prasasti Iffa Maula,Dhini Arian,Laoh Enrico
Cited by
8 articles.
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1. Response Surface Methodology to Characterize the Indicators for the Early Detection of Fraudulent Cases in the Motor Insurance Market;2024 IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC);2024-04-04
2. Machine Learning Algorithms with Oversampling Methods for Automobile Insurance Fraud Detection;2023 IEEE 21st Student Conference on Research and Development (SCOReD);2023-12-13
3. Detecting Fraud in Motor Insurance Claims Using XGBoost Algorithm with SMOTE;2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA);2023-10-26
4. Machine Learning Methods for Detecting Car Insurance Fraud: Comparative Analysis;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
5. A systematic review on artificial intelligence models applied to prediction in finance;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08