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Machine learning for environmental toxicology
File(s)
accepted manuscript.pdf (1.37 MB)
Accepted version
OA Location
Author(s)
Miller, TH
Gallidabino, MD
Macrae, JI
Hogstrand, C
Bury, NR
Type
Journal Article
Date Issued
2018-11-20
Date Acceptance
2018-10-01
Citation
A Call for Integration and Innovation, 2018, 52 (22), pp.12953-12955
URI
URL
DOI
ISSN
0013-936X
Publisher
American Chemical Society
Start Page
12953
End Page
12955
Journal / Book Title
A Call for Integration and Innovation
Volume
52
Issue
22
Copyright Statement
© 2018 American Chemical Society. This document is the Accepted Manuscript version of a Published Work that appeared in final form in Environmental Science and Technology, after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.est.8b05382
Identifier
http://www.scopus.com/inward/record.url?scp=85055496550&partnerID=8YFLogxK
Subjects
Ecotoxicology
Machine Learning
Support Vector Machine
Ecotoxicology
Machine Learning
Support Vector Machine
Environmental Sciences
Notes
10.1021/acs.est.8b05382
Publication Status
Published
Date Publish Online
2018-10-19