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 | 116 | 2019 |
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 | 10 | 2016 |
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 | 8 | 2021 |
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 | 5 | 2016 |
Automated image-based taxon identification using deep learning and citizen-science contributions M Valan Department of Zoology, Stockholm University, 2021 | 4 | 2021 |
Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images M Valan, L Picek arXiv preprint arXiv:2008.07828, 2020 | 2 | 2020 |
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 | 2 | 2016 |
AI-Phy: improving automated image-based identification of biological organisms using phylogenetic information M Valan, J Nylander, F Ronquist | 1 | 2021 |
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 |