Követés
Alexander E. White
Alexander E. White
Smithsonian Institution - Data Science Lab
E-mail megerősítve itt: si.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
1722022
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
922020
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
662019
Geographical Barriers and Dispersal Propensity Interact to Limit Range Expansions of Himalayan Birds
AE White
The American Naturalist 188 (1), 99-112, 2016
582016
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
572016
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
472019
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
432020
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
322020
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
202021
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
82023
Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution, 13 (8), 1640–1660
ML Borowiec, RB Dikow, PB Frandsen, A McKeeken, G Valentini, ...
82022
Deep learning as a tool for ecology and evolution. Methods Ecol. Evol. 13, 1640–1660
ML Borowiec, RB Dikow, PB Frandsen, A McKeeken, G Valentini, ...
72022
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, ...
72022
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
52022
Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning. Applications in Plant Sciences 8 (6)
A White, R Dikow, M Baugh, A Jenkins, P Frandsen
52020
Deep learning as a tool for ecology and evolution. Methods Ecol Evol. 2022; 13 (8): 1640–60
ML Borowiec, RB Dikow, PB Frandsen, A McKeeken, G Valentini, ...
4
Evaluating geographic patterns of morphological diversity in ferns and lycophytes using deep neural networks
A White, M Trizna, P Frandsen, L Dorr, R Dikow, E Schuettpelz
Biodiversity Information Science and Standards, 2019
32019
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
22023
Deep learning in deep time
AE White
Proceedings of the National Academy of Sciences 117 (47), 29268-29270, 2020
22020
Discovering patterns of biodiversity in insects using deep machine learning
E Chandra, A White, M Trizna, P Frandsen, A Kawahara, S Brady, ...
Biodiversity Information Science and Standards, 2019
22019
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Cikkek 1–20