Hierarchical classification of pollinating flying insects under changing environments

Author:

Parmezan Antonio R.S.,Souza Vinicius M.A.,Seth Arpita,Žliobaitė Indrė,Batista Gustavo E.A.P.A.

Funder

United States Agency for International Development

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

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

Reference72 articles.

1. SIGKDD demo: Sensors and software to allow computational entomology, an emerging application of data mining;Batista,2011

2. Classification and regression trees;Breiman,1984

3. Image-based species identification of wild bees using convolutional neural networks;Buschbacher;Ecol. Inform.,2020

4. A geometric morphometric method and web application for identifying honey bee species (Apis spp.) using only forewings;Bustamante;Apidologie,2021

5. Bee conservation policy at the global, regional and national levels;Byrne;Apidologie,2009

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