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Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians.

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Title: Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians.
Authors: Chen, Li-Dunn1 (AUTHOR), Caprio, Michael A.1 (AUTHOR), Chen, Devin M.2 (AUTHOR), Kouba, Andy J.2 (AUTHOR), Kouba, Carrie K.1 (AUTHOR) ckv7@msstate.edu
Source: PLoS Computational Biology. 2/14/2024, Vol. 20 Issue 2, p1-25. 25p.
Database: Academic Search Ultimate
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  Data: Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Li-Dunn%22">Chen, Li-Dunn</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Caprio%2C+Michael+A%2E%22">Caprio, Michael A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Devin+M%2E%22">Chen, Devin M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kouba%2C+Andy+J%2E%22">Kouba, Andy J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kouba%2C+Carrie+K%2E%22">Kouba, Carrie K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ckv7@msstate.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 2/14/2024, Vol. 20 Issue 2, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175442124
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        Value: 10.1371/journal.pcbi.1011876
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        Text: Danish
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              Text: 2/14/2024
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              Y: 2024
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