NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations
Ali Khalighifar
, Benjamin S. Gotthold
, Erin Adams
, Jenny Barnett
, Laura O. Beard
, Eric R. Britzke
, Paul A. Burger
, Kimberly Chase
, Zackary Cordes
, Paul M. Cryan
, Emily Ferrall
, Christopher T. Fill
, Scott E. Gibson
, G. Scott Haulton
, Kathryn M. Irvine
, Lara S. Katz
, William L. Kendall
, Christen A. Long
, Oisin Mac Aodha
, Tessa McBurney
Sara McCarthy, Matthew W. McKown, Joy O'Keefe, Lucy D. Patterson, Kristopher A. Pitcher, Matthew Rustand, Jordi L. Segers, Kyle Seppanen, Jeremy L. Siemers, Christian Stratton, Bethany R. Straw, Theodore J. Weller, Brian E. Reichert
Research output: Contribution to journal › Article › peer-review
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