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Perspectives in machine learning for wildlife conservation.
Published in:
Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-27980-y
By:
- Tuia, Devis;
- Kellenberger, Benjamin;
- Beery, Sara;
- Costelloe, Blair R.;
- Zuffi, Silvia;
- Risse, Benjamin;
- Mathis, Alexander;
- Mathis, Mackenzie W.;
- van Langevelde, Frank;
- Burghardt, Tilo;
- Kays, Roland;
- Klinck, Holger;
- Wikelski, Martin;
- Couzin, Iain D.;
- van Horn, Grant;
- Crofoot, Margaret C.;
- Stewart, Charles V.;
- Berger-Wolf, Tanya
Publication type:
Article
A deep active learning system for species identification and counting in camera trap images.
Published in:
Methods in Ecology & Evolution, 2021, v. 12, n. 1, p. 150, doi. 10.1111/2041-210X.13504
By:
- Norouzzadeh, Mohammad Sadegh;
- Morris, Dan;
- Beery, Sara;
- Joshi, Neel;
- Jojic, Nebojsa;
- Clune, Jeff;
- Schofield, Matthew
Publication type:
Article
Monitoring urban trees across the world: report from the Urban Trees Ecophysiology Network (UTEN) inaugural workshop.
Published in:
New Phytologist, 2024, v. 242, n. 5, p. 1881, doi. 10.1111/nph.19621
By:
- Mantova, Marylou;
- Johnson, Daniel M.;
- Antebi, Jonathan;
- Beery, Sara;
- Blumstein, Meghan;
- Cohen, Ron;
- Defavari, Felipe;
- Feng, Xue;
- Feuer, Erez;
- Gersony, Jess;
- Hammond, William M.;
- John, Grace;
- Marchin, Renée M.;
- Mau, Yair;
- Miller, Bill;
- Nibbelink, Clara;
- Ossola, Alessandro;
- Paquette, Alain;
- Rademacher, Tim;
- Rissanen, Kaisa
Publication type:
Article
Training Machines to Identify Species using GBIFmediated Datasets.
Published in:
2019
By:
- Robertson, Tim;
- Belongie, Serge;
- Adam, Hartwig;
- Kaeser-Chen, Christine;
- Chenyang Zhang;
- Kiat Chuan Tan;
- Yulong Liu;
- Brulé, Denis;
- Deltheil, Cédric;
- Loarie, Scott;
- Horn, Grant Van;
- Aodha, Oisin Mac;
- Beery, Sara;
- Perona, Pietro;
- Copas, Kyle;
- Waller, John Thomas
Publication type:
Abstract
Efficient Pipeline for Automating Species ID in new Camera Trap Projects.
Published in:
2019
By:
- Beery, Sara;
- Morris, Dan;
- Yang, Siyu;
- Simon, Marcel;
- Norouzzadeh, Arash;
- Joshi, Neel
Publication type:
Abstract

Found: 5

Perspectives in machine learning for wildlife conservation.

A deep active learning system for species identification and counting in camera trap images.

Monitoring urban trees across the world: report from the Urban Trees Ecophysiology Network (UTEN) inaugural workshop.

Training Machines to Identify Species using GBIFmediated Datasets.

Efficient Pipeline for Automating Species ID in new Camera Trap Projects.