Dhar, J., & Roy, S. (2024). Identification and diagnosis of cervical cancer using a hybrid feature selection approach with the bayesian optimization-based optimized catboost classification algorithm. Journal of ambient intelligence and humanized computing, 15(9), 3459-3477. https://doi.org/10.1007/s12652-024-04825-8
Chicago Style (17th ed.) CitationDhar, Joy, and Souvik Roy. "Identification and Diagnosis of Cervical Cancer Using a Hybrid Feature Selection Approach with the Bayesian Optimization-based Optimized Catboost Classification Algorithm." Journal of Ambient Intelligence and Humanized Computing 15, no. 9 (2024): 3459-3477. https://doi.org/10.1007/s12652-024-04825-8.
MLA (9th ed.) CitationDhar, Joy, and Souvik Roy. "Identification and Diagnosis of Cervical Cancer Using a Hybrid Feature Selection Approach with the Bayesian Optimization-based Optimized Catboost Classification Algorithm." Journal of Ambient Intelligence and Humanized Computing, vol. 15, no. 9, 2024, pp. 3459-3477, https://doi.org/10.1007/s12652-024-04825-8.