Author:
Yuan Ying'an,Wang Deyun,Zhang Ludan,Wu Qi,Guo Haixiang
Funder
Hubei Province Natural Science Foundation
Chinese National Funding of Social Sciences
National Office for Philosophy and Social Sciences
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
China University of Geosciences, Wuhan
Reference44 articles.
1. The development of a road network flood risk detection model using optimised ensemble learning;Abu-Salih;Eng. Appl. Artif. Intel.,2023
2. Identification of water bodies in a landsat 8 OLI image using a J48 decision tree;Acharya;Sensors (basel, Switzerland),2016
3. Some models for estimating technical and scale inefficiencies in data envelopment analysis;Banker;Manag. Sci.,1984
4. Measuring the efficiency of decision making units;Charnes;Eur. J. Oper. Res.,1978
5. Chen, T., & Guestrin, C., 2016. XGBoost: A Scalable Tree Boosting System. Paper presented at the Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California, USA. https://doi.org/10.1145/2939672.2939785.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献