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The Herbarium 2021 Half-Earth Challenge Dataset and Machine Learning Competition.
de Lutio, Riccardo; Park, John Y; Watson, Kimberly A; D'Aronco, Stefano; Wegner, Jan D; Wieringa, Jan J; Tulig, Melissa; Pyle, Richard L; Gallaher, Timothy J; Brown, Gillian; Guymer, Gordon; Franks, Andrew; Ranatunga, Dhahara; Baba, Yumiko; Belongie, Serge J; Michelangeli, Fabián A; Ambrose, Barbara A; Little, Damon P.
Afiliação
  • de Lutio R; EcoVision Lab, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zurich, Switzerland.
  • Park JY; New York Botanical Garden, Bronx, NY, United States.
  • Watson KA; New York Botanical Garden, Bronx, NY, United States.
  • D'Aronco S; EcoVision Lab, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zurich, Switzerland.
  • Wegner JD; EcoVision Lab, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zurich, Switzerland.
  • Wieringa JJ; Faculty of Science, Institute for Computational Science, University of Zurich, Zurich, Switzerland.
  • Tulig M; Naturalis Biodiversity Center, Leiden, Netherlands.
  • Pyle RL; Bishop Museum, Honolulu, HI, United States.
  • Gallaher TJ; Bishop Museum, Honolulu, HI, United States.
  • Brown G; Bishop Museum, Honolulu, HI, United States.
  • Guymer G; Queensland Herbarium, Department of Environment and Science, Toowong, QLD, Australia.
  • Franks A; Queensland Herbarium, Department of Environment and Science, Toowong, QLD, Australia.
  • Ranatunga D; Queensland Herbarium, Department of Environment and Science, Toowong, QLD, Australia.
  • Baba Y; Auckland War Memorial Museum Tamaki Paenga Hira, Auckland, New Zealand.
  • Belongie SJ; Auckland War Memorial Museum Tamaki Paenga Hira, Auckland, New Zealand.
  • Michelangeli FA; Department of Computer Science, University of Copenhagen, and Pioneer Centre for AI, Copenhagen, Denmark.
  • Ambrose BA; New York Botanical Garden, Bronx, NY, United States.
  • Little DP; New York Botanical Garden, Bronx, NY, United States.
Front Plant Sci ; 12: 787127, 2021.
Article em En | MEDLINE | ID: mdl-35178056
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article