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在“
ACS电子期刊
”中,
命中:
27
条,耗时:小于0.01 秒
在所有数据库中总计命中:
2,802
条
1.
Matching in Vitro Bioaccessibility of Polyphenols and Antioxidant Capacity of Soluble Coffee by Boosted
Regression
Trees
作者:
Natalia S. Podio
;
Rebeca L贸pez-Froil谩n
;
Esther Ramirez-Moreno
;
Lidwina Bertrand
;
Mar铆a V. Baroni
;
Mar铆a L. P茅rez-Rodr铆guez
;
Mar铆a-Cortes S谩nchez-Mata
;
Daniel A. Wunderlin
刊名:Journal of Agricultural and Food Chemistry
出版年:2015
2.
Predicting Arsenic in Drinking Water Wells of the Central Valley, California
作者:
Joseph D. Ayotte
;
Bernard T. Nolan
;
Jo Ann Gronberg
刊名:Environmental Science & Technology
出版年:2016
3.
Comparing the Influence of Simulated Experimental Errors on 12 Machine Learning Algorithms in Bioactivity Modeling Using 12 Diverse Data Sets
作者:
Isidro Cortes-Ciriano
;
Andreas Bender
;
Th茅r猫se E. Malliavin
刊名:Journal of Chemical Information and Modeling
出版年:2015
4.
Untangling the Chemistry of Port Wine Aging with the Use of GC-FID, Multivariate Statistics, and Network Reconstruction
作者:
Dan Jacobson
;
Ana Rita Monforte
;
Ant贸nio C茅sar Silva Ferreira
刊名:Journal of Agricultural and Food Chemistry
出版年:2013
5.
Large-Scale Quantitative Structure鈥揚roperty Relationship (QSPR) Analysis of Methane Storage in Metal鈥揙rganic Frameworks
作者:
Michael Fernandez
;
Tom K. Woo
;
Christopher E. Wilmer
;
Randall Q. Snurr
刊名:The Journal of Physical Chemistry C
出版年:2013
6.
Coping with Unbalanced Class Data Sets in Oral Absorption Models
作者:
Danielle Newby
;
Alex A. Freitas
;
Taravat Ghafourian
刊名:Journal of Chemical Information and Modeling
出版年:2013
7.
Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption
作者:
Danielle Newby
;
Alex. A. Freitas
;
Taravat Ghafourian
刊名:Journal of Chemical Information and Modeling
出版年:2013
8.
Application of Stochastic Models in Identification and Apportionment of Heavy Metal Pollution Sources in the Surface Soils of a Large-Scale Region
作者:
Yuanan Hu
;
Hefa Cheng
刊名:Environmental Science & Technology (ES&T)
出版年:2013
9.
Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure–Activity Relationship and Machine Learning Methods
作者:
Qingda Zang
;
Daniel M. Rotroff
;
Richard S. Judson
刊名:Journal of Chemical Information and Modeling
出版年:2013
10.
Spatially Resolved Distribution Models of POP Concentrations in Soil: A Stochastic Approach Using
Regression
Trees
作者:
Klra Kuboov
;
Ji Komprda
;
Ji Jarkovsk
;
Milan Ska
;
Ondej Hjek
;
Ladislav Duek
;
Ivan Holoubek
;
Jana Klnov
刊名:Environmental Science & Technology
出版年:2009
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