Geometric morphometrics and machine learning as tools for the identification of sibling mosquito species of the Maculipennis complex (Anopheles)-Reference-Cited by-同舟云学术

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Geometric morphometrics and machine learning as tools for the identification of sibling mosquito species of the Maculipennis complex (Anopheles)

Published:2021-11 Issue: Volume:95 Page:105034
ISSN:1567-1348
Container-title:Infection, Genetics and Evolution
language:en
Short-container-title:Infection, Genetics and Evolution

Author:

Bellin Nicolò,Calzolari Mattia,Callegari Emanuele,Bonilauri Paolo,Grisendi Annalisa,Dottori Michele,Rossi Valeria

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics,Microbiology

Reference74 articles.

1. Geomorph: software for geometric morphometric analyses;Adams,2020

2. Neural networks and deep learning;Aggarwal,2018

3. keras: R Interface to “Keras”;Allaire,2020

4. tensorflow: R Interface to “TensorFlow”;Allaire,2020

5. A new method for non-parametric multivariate analysis of variance;Anderson;Austral Ecol.,2001

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