Deep learning as a tool for ecology and evolution ML Borowiec, RB Dikow, PB Frandsen, A McKeeken, G Valentini, ... Methods in Ecology and Evolution 13 (8), 1640-1660, 2022 | 111 | 2022 |
Machine learning using digitized herbarium specimens to advance phenological research KD Pearson, G Nelson, MFJ Aronson, P Bonnet, L Brenskelle, CC Davis, ... BioScience 70 (7), 610-620, 2020 | 84 | 2020 |
Unifying latitudinal gradients in range size and richness across marine and terrestrial systems A Tomašových, JD Kennedy, TJ Betzner, NB Kuehnle, S Edie, S Kim, ... Proceedings of the Royal Society B: Biological Sciences 283 (1830), 20153027, 2016 | 55 | 2016 |
Common latitudinal gradients in functional richness and functional evenness across marine and terrestrial systems M Schumm, SM Edie, KS Collins, V Gómez-Bahamón, K Supriya, ... Proceedings of the Royal Society B 286 (1908), 20190745, 2019 | 53 | 2019 |
Geographical Barriers and Dispersal Propensity Interact to Limit Range Expansions of Himalayan Birds AE White The American Naturalist 188 (1), 99-112, 2016 | 50 | 2016 |
Regional influences on community structure across the tropical-temperate divide AE White, KK Dey, D Mohan, M Stephens, TD Price Nature Communications 10 (1), 2646, 2019 | 41 | 2019 |
Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning AE White, RB Dikow, M Baugh, A Jenkins, PB Frandsen Applications in Plant Sciences 8 (6), e11352, 2020 | 35 | 2020 |
Ecological limits as the driver of bird species richness patterns along the east Himalayan elevational gradient M Schumm, AE White, K Supriya, TD Price The American Naturalist 195 (5), 802-817, 2020 | 28 | 2020 |
Dispersal syndromes drive the formation of biogeographical regions, illustrated by the case of Wallace’s Line AE White, KK Dey, M Stephens, TD Price Global Ecology and Biogeography 30 (3), 685-696, 2021 | 19 | 2021 |
Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution, 13, 1640–1660 ML Borowiec, RB Dikow, PB Frandsen, A McKeeken, G Valentini, ... | 5 | 2022 |
Key roles for the freezing line and disturbance in driving the low plant species richness of temperate regions SK Rana, AE White, TD Price Global Ecology and Biogeography 31 (2), 280-293, 2022 | 4 | 2022 |
Application of a deep learning image classifier for identification of Amazonian fishes AJ Robillard, MG Trizna, M Ruiz‐Tafur, EL Dávila Panduro, ... Ecology and Evolution 13 (5), e9987, 2023 | 3 | 2023 |
Evaluating geographic patterns of morphological diversity in ferns and lycophytes using deep neural networks. AE White, MG Trizna, PB Frandsen, LJ Dorr, RB Dikow, E Schuettpelz Biodiversity Information Science and Standards, 2019 | 3 | 2019 |
Deep learning in deep time AE White Proceedings of the National Academy of Sciences 117 (47), 29268-29270, 2020 | 2 | 2020 |
Discovering Patterns of Biodiversity in Insects Using Deep Machine Learning. C Earl, AE White, MG Trizna, PB Frandsen, AY Kawahara, SG Brady, ... Biodiversity Information Science and Standards, 2019 | 2 | 2019 |
Developing responsible AI practices at the Smithsonian Institution R Dikow, C DiPietro, M Trizna, H BredenbeckCorp, M Bursell, J Ekwealor, ... ARPHA Preprints 4, e113335, 2023 | 1 | 2023 |
Let the records show: Attribution of scientific credit in natural history collections RB Dikow, JTB Ekwealor, WJB Mattingly, MG Trizna, E Harmon, T Dikow, ... International Journal of Plant Sciences 184 (5), 392-404, 2023 | 1 | 2023 |
Generating Masks for Image Segmentation in Digitized Herbarium Specimens. AE White, RB Dikow, M Baugh, A Jenkins, PB Frandsen Biodiversity Information Science and Standards, 2019 | | 2019 |