Publisher
Springer Nature Singapore
Reference20 articles.
1. Prokhorenkova, L., Gusev, G., Vorobev, A., et al.: CatBoost: unbiased boosting with categorical features. In: Advances in Neural Information Processing Systems, vol. 31 (2018)
2. Jabeur, S.B., Gharib, C., Mefteh-Wali, S., et al.: CatBoost: model and artificial intelligence techniques for corporate failure prediction. Technol. Forecast. Soc. Chang. 166, 1–11 (2021)
3. Abdar, M., Ksiek, W., Acharya, U.R., et al.: A new machine learning technique for an accurate diagnosis of coronary artery disease. Comput. Methods Programs Biomedicine 179 (2019)
4. Mienye, I.D., Sun, Y., Wang, Z.: An improved ensemble learning approach for the prediction of heart disease risk. Inform. Medicine Unlocked 20 (2020)
5. Aljame, M., Ahmad, I., Imtiaz, A., et al.: Ensemble learning model for diagnosing COVID-19 from routine blood tests. Inf. Med. Unlocked 21 (2020)