Mahynski, N.
, Ragland, J.
, Schuur, S.
and Shen, V.
(2022),
Building Interpretable Machine Learning Models to Identify Chemometric Trends in Seabirds of the North Pacific Ocean, Environmental Science & Technology, [online], https://doi.org/10.1021/acs.est.2c01894, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934195
(Accessed August 14, 2024)