Author

J. Stenglein

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Ecology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. J. Davis· 1 shared A. Singh· 1 shared B. Zuckerberg· 1 shared C. Anhalt-Depies· 1 shared D. P. Walsh· 1 shared D. W. Wolfson· 1 shared E. A. Odell· 1 shared E. J. Newton· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEcology

A. J. Davis

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Integrating remote sensing and jurisdictional observation networks to improve the resolution of ecological management

P. A. Townsend, J. Clare, N. Liu, J. Stenglein, C. Anhalt-Depies, T. R. Van Deelen, N. A. Gilbert, A. Singh, K. J. Martin, B. Zuckerberg

This paper presents a jurisdictional observation network integrating satellite remote sensing and volunteer-based trail cameras to improve wildlife monitoring and management.

bioRxiv · Jun 8, 2020 · PreprintEcology

Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

M. A. Tabak, M. S. Norouzzadeh, D. W. Wolfson, E. J. Newton, R. K. Boughton, J. S. Ivan, E. A. Odell, E. S. Newkirk, R. Y. Conrey, J. Stenglein, F. Iannarilli, J. Erb, R. K. Brook, A. J. Davis, J. Lewis, , R. S. Miller

This paper develops two deep learning models for camera trap image classification, achieving high accuracy and transferability across locations, and provides an accessible R package for biologists.

bioRxiv · Mar 18, 2020Ecology