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1 Ergebnisse
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Building Interpretable Machine Learning Models to Identify ..:
Mahynski, Nathan A.
;
Ragland, Jared M.
;
Schuur, Stacy S.
.
Environmental Science & Technology. 56 (2022) 20 - p. 14361-14374 , 2022
Link:
https://doi.org/10.1021/acs.est.2c01894
RT Journal T1
Building Interpretable Machine Learning Models to Identify Chemometric Trends in Seabirds of the North Pacific Ocean
UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.est.2c01894&Exemplar=1&LAN=DE A1 Mahynski, Nathan A. A1 Ragland, Jared M. A1 Schuur, Stacy S. A1 Shen, Vincent K. PB American Chemical Society (ACS) YR 2022 SN 0013-936X SN 1520-5851 JF Environmental Science & Technology VO 56 IS 20 SP 14361 OP 14374 LK http://dx.doi.org/https://doi.org/10.1021/acs.est.2c01894 DO https://doi.org/10.1021/acs.est.2c01894 SF ELIB - SuUB Bremen
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