CatBoost and Bayesian Optimization Algorithm-Based Classification of Fraudulently Insured Persons and Random Forest-Based Fraud Prediction Combining Multiple Attention Mechanisms

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Titel: CatBoost and Bayesian Optimization Algorithm-Based Classification of Fraudulently Insured Persons and Random Forest-Based Fraud Prediction Combining Multiple Attention Mechanisms
Autoren: Haoming Xie
Quelle: 2025 5th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). :103-110
Verlagsinformationen: IEEE, 2025.
Publikationsjahr: 2025
Publikationsart: Article
DOI: 10.1109/mlise66443.2025.11100175
Rights: STM Policy #29
Dokumentencode: edsair.doi...........baba80ccd4585a5e1f63b4bd93e8f18d
Datenbank: OpenAIRE