Importance of machine learning for enhancing ecological studies using information-rich imagery

Dujon, AM; Schofield, G

dc.contributor.author	Dujon, AM	en_US
dc.contributor.author	Schofield, G	en_US
dc.date.accessioned	2019-09-11T09:37:08Z
dc.date.issued	2019	en_US
dc.identifier.issn	1863-5407	en_US
dc.identifier.uri	https://qmro.qmul.ac.uk/xmlui/handle/123456789/59619
dc.format.extent	91 - 104	en_US
dc.relation.ispartof	ENDANGERED SPECIES RESEARCH	en_US
dc.rights	This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights	Attribution 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/	*
dc.subject	Meta-analysis	en_US
dc.subject	Computer vision	en_US
dc.subject	Video analysis	en_US
dc.subject	Big data	en_US
dc.subject	Classifier	en_US
dc.subject	Deep learning	en_US
dc.subject	BRUVs	en_US
dc.subject	ROVs	en_US
dc.title	Importance of machine learning for enhancing ecological studies using information-rich imagery	en_US
dc.type	Article
dc.rights.holder	© The Author(s) 2019
dc.identifier.doi	10.3354/esr00958	en_US
pubs.author-url	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000487122600008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a	en_US
pubs.notes	Not known	en_US
pubs.publication-status	Published	en_US
pubs.volume	39	en_US
rioxxterms.funder	Default funder	en_US
rioxxterms.identifier.project	Default project	en_US

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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.