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High-Resolution Vegetation Mapping Using eXtreme Gradient Boosting Based on Extensive Features

机译：基于广泛功能的极端梯度提升，高分辨率植被映射

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Heng Zhang; Anwar Eziz; Jian Xiao; Shengli Tao; Shaopeng Wang; Zhiyao Tang; Jiangling Zhu; Jingyun Fang;
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1. High-Resolution Vegetation Mapping Using eXtreme Gradient Boosting Based on Extensive Features [J] . Heng Zhang, Anwar Eziz, Jian Xiao, Remote Sensing . 2019,第12期

机译：基于扩展特征的eXtreme梯度增强的高分辨率植被图
2. Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting [J] . Ke Li, Sijia Zhang, Di Yan, BMC Bioinformatics . 2020,第S13期

机译：基于监督等距映射的蛋白质-DNA绑定界面热斑的预测及极限梯度升压
3. XGBXSS: An Extreme Gradient Boosting Detection Framework for Cross-Site Scripting Attacks Based on Hybrid Feature Selection Approach and Parameters Optimization [J] . Mokbal Fawaz Mahiuob Mohammed, Wang Dan, Wang Xiaoxi, Journal of information security and applications . 2021,第May期

机译：XGBXSS：基于混合特征选择方法和参数优化的跨站点脚本攻击的极端渐变促进检测框架
4. Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis [C] . Muhammad Sakib Khan Inan, Rubaiath E Ulfath, Fahim Irfan Alam, Annual Computing and Communication Workshop and Conference . 2021

机译：改进采样和特征选择，以支持PCOS诊断的极端渐变升压
5. Xtreme-NoC: Extreme Gradient Boosting Based Latency Model for Network-on-Chip Architectures [D] . Sheriff, Ilma. 2021

机译：Xtreme-Noc：基于极端梯度促进网络的片上架构延迟模型
6. Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting [O] . Ke Li, Sijia Zhang, Di Yan, 2020

机译：基于监督等距映射的蛋白质-DNA绑定界面热斑的预测及极限梯度升压
7. IoT Botnet Attack Detection Based on Optimized Extreme Gradient Boosting and Feature Selection [O] . Mnahi Alqahtani, Hassan Mathkour, Mohamed Maher Ben Ismail 2020

机译：基于优化的极端渐变升压和特征选择，IoT僵局攻击检测

High-Resolution Vegetation Mapping Using eXtreme Gradient Boosting Based on Extensive Features

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