Résultats pour Auteur : "Ellwood, Elizabeth R."

Envisaging a global infrastructure to exploit the potential of digitised collections. Groom Quentin, Dillen Mahtias, Addink Wouter, Ariño Arturo H., Bölling Christian, Bonnet Pierre, Cecchi Lorenzo, Ellwood Elizabeth R., Figueira Rui, Gagnier Pierre-Yves, Grace Olwen, Güntsch Anton, Hardy Helen, Huybrechts Pieter, Hyam Roger, Joly Alexis, Kommineni Vamsi Krishna, Larridon Isabel, Livermore Laurence, Lopes Ricardo Jorge, Meeus Sofie, Miller Jeremy, Milleville Kenzo, Panda Renato, Pignal Marc, Poelen Jorrit, Ristevski Blagoj, Robertson Tim, Rufino Ana C., Santos Joaquim, Schermer Maarten, Scott Ben, Seltmann Katja Chantre, Teixeira Heliana, Trekels Maarten, Gaikwad Jitendra. 2023. Biodiversity Data Journal, 11:e109439, 29 p.

Machine learning using digitized herbarium specimens to advance phenological research. Pearson Katelin D., Nelson Gil, Aronson Myla F.J., Bonnet Pierre, Brenskelle Laura, Davis Charles C., Denny Ellen G., Ellwood Elizabeth R., Goeau Hervé, Heberling J. Mason, Joly Alexis, Lorieul Titouan, Mazer Susan J., Meineke Emily K., Stucky Brian J., Sweeney Patrick W., White Alexander E., Soltis Pamela S.. 2020. BioScience, 70 (7) : 610-620.

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras. Lorieul Titouan, Pearson Katelin D., Ellwood Elizabeth R., Goeau Hervé, Molino Jean-François, Sweeney Patrick W., Yost Jennifer M., Sachs Joel, Mata-Montero Erick, Nelson Gil, Soltis Pamela S., Bonnet Pierre, Joly Alexis. 2019. Applications in Plant Sciences, 7 (3), n.spéc. Emerging Frontiers in Phenological Research:e01233, 14 p.