Improving Pantanal fish species recognition through taxonomic ranks in convolutional neural networks-Reference-Cited by-同舟云学术

Improving Pantanal fish species recognition through taxonomic ranks in convolutional neural networks

Published:2019-09 Issue: Volume:53 Page:100977
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

dos Santos Anderson Aparecido,Gonçalves Wesley Nunes

Funder

FUNDECT - State of Mato Grosso do Sul Foundation to Support Education, Science and Technology

CAPES - Brazilian Federal Agency for Support and Evaluation of Graduate Education

CNPq - National Council for Scientific and Technological Development

NVIDIA Corporation

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference35 articles.

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2. Recognition of endangered pantanal animal species using deep learning methods;Arruda,2018

3. The ecological importance of intraspecific variation;Des Roches;Nat. Ecol. Evol.,2018

4. The state of world fisheries and aquaculture 2018 - meeting the sustainable development goals;FAO,2018

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