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1 Ergebnisse
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A data-driven interpretable ensemble framework based on tre..:
Zheng, Hu-Li
;
An, Shu-Yi
;
Qiao, Bao-Jun
...
Environmental Science and Pollution Research. 30 (2022) 5 - p. 13648-13659 , 2022
Link:
https://doi.org/10.1007/s11356-022-23132-3
RT Journal T1 <Title>A data-driven interpretable ensemble framework based on tree models for forecasting the occurrence of COVID-19 in the USA</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11356-022-23132-3&Exemplar=1&LAN=DE A1 Zheng, Hu-Li A1 An, Shu-Yi A1 Qiao, Bao-Jun A1 Guan, Peng A1 Huang, De-Sheng A1 Wu, Wei PB Springer Science and Business Media LLC YR 2022 SN 1614-7499 JF Environmental Science and Pollution Research VO 30 IS 5 SP 13648 OP 13659 LK http://dx.doi.org/https://doi.org/10.1007/s11356-022-23132-3 DO https://doi.org/10.1007/s11356-022-23132-3 SF ELIB - SuUB Bremen
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