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Miroslav Valan
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Automated taxonomic identification of insects with expert-level accuracy using effective feature transfer from convolutional networks
M Valan, K Makonyi, A Maki, D Vondráček, F Ronquist
Systematic Biology 68 (6), 876-895, 2019
1162019
Chewing lice of genus Ricinus (Phthiraptera, Ricinidae) deposited at the Zoological Institute of the Russian Academy of Sciences, Saint Petersburg, Russia, with description of …
M Valan, O Sychra, I Literak
Parasite 23, 2016
102016
Awakening a taxonomist's third eye: exploring the utility of computer vision and deep learning in insect systematics
M Valan, D Vondráček, F Ronquist
Systematic Entomology 46 (4), 757-766, 2021
82021
New data on the taxonomy and distribution of ten Neotropical chewing lice of the genus Myrsidea (Phthiraptera: Menoponidae), including the description of a new …
S Kolencik, O Sychra, M Valan, I Literak
Zootaxa 4085 (2), 233–247-233–247, 2016
52016
Automated image-based taxon identification using deep learning and citizen-science contributions
M Valan
Department of Zoology, Stockholm University, 2021
42021
Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images
M Valan, L Picek
arXiv preprint arXiv:2008.07828, 2020
22020
Redescriptions and new host records of chewing lice of the genus Ricinus (Phthiraptera: Ricinidae) from the Neotropical Region
M Valan, O Sychra, I Literak
Zootaxa 4154 (2), 179–189-179–189, 2016
22016
AI-Phy: improving automated image-based identification of biological organisms using phylogenetic information
M Valan, J Nylander, F Ronquist
12021
Systematic Biology has an Open Access option.—
K Chaplin, M Valan
Syst. Biol 70 (1), A1, 2021
2021
The Swedish Ladybird Project: Engaging 15,000 school children in improving AI identification of ladybird beetles
M Valan, M Bergman, M Forshage, F Ronquist
2021
Systematic Biology has an Open Access option.—
K Chaplin, M Valan
Syst. Biol 69 (5), A5, 2020
2020
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