1.Definitions, methods, and applications in interpretable machine learning

作　　者：W. James Murdoch ;Chandan Singh ;Karl Kumbier 等

出　　处：Proceedings of the National Academy of Sciences. 2019 ;116(44):22071-22080.doi:10.1073/pnas.1900654116

出版社：The National Academy of Sciences of the United States of America

文章 ID：243137889

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2.Veridical data science

作　　者：Bin Yu ;Karl Kumbier

出　　处：Proceedings of the National Academy of Sciences. 2020 ;117(8):3920-3929.doi:10.1073/pnas.1901326117

出版社：The National Academy of Sciences of the United States of America

文章 ID：244847190

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3.Iterative random forests to discover predictive and stable high-order interactions

作　　者：Sumanta Basu ;Karl Kumbier ;James B. Brown 等

出　　处：Proceedings of the National Academy of Sciences. 2018 ;115(8):1943-1948.doi:10.1073/pnas.1711236115

出版社：The National Academy of Sciences of the United States of America

文章 ID：211032856

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4.A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms

作　　者：Yiwei Cheng ;Ved N. Bhoot ;Karl Kumbier 等

出　　处：Scientific Reports. 2021 ;11.doi:10.1038/s41598-021-98110-9

出版社：Springer Nature

文章 ID：1035638573

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	Marilou P. Sison-Mangus	1篇

	Michelle E. Newcomer	1篇
	Raphael Kudela	1篇
	Reza Abbasi-Asl	1篇
	Sumanta Basu	1篇
	Ved N. Bhoot	1篇
	W. James Murdoch	1篇
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	美国	3篇
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