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Perspectives in machine learning for wildlife conservation

• Authors : Tuia, Devis; Kellenberger, Benjamin; Beery, Sara

Subjects: Computer science; Conservation biology; General Physics and Astronomy

• Source: Nature Communications, 13, Art. No. 792, (2022-02-09)

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Perspectives in machine learning for wildlife conservation

• Authors : Tuia, Devis; Kellenberger, Benjamin; Beery, Sara

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ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification

• Authors : Kulits, Peter; Wall, Jake; Bedetti, Anka

Subjects: elephants; re-identification; conservation tech

• Source: ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '21), [Online Only], 28 June-2 July 2021

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Benchmarking Representation Learning for Natural World Image Collections

• Authors : Van Horn, Grant; Cole, Elijah; Beery, Sara

• Source: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 20-25 June 2021

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Species Distribution Modeling for Machine Learning Practitioners: A Review

• Authors : Beery, Sara; Cole, Elijah; Parker, Joseph

Subjects: species distribution modeling; ecological niche modeling; machine learning

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Wildlife Insights: How Camera Trap Data Can Foster Global Biodiversity Conservation

• Authors : Iannarilli, Fabiola; Oliver, Ruth; Birch, Tanya

• Source: AGU 2021 Fall Meeting, New Orleans, LA and virtual, 13-17 December 2021

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Wildlife Insights: How Camera Trap Data Can Foster Global Biodiversity Conservation

• Authors : Iannarilli, Fabiola; Oliver, Ruth; Birch, Tanya

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Synthetic Examples Improve Generalization for Rare Classes

• Authors : Beery, Sara; Liu, Yang; Morris, Dan

• Source: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass Village, CO, 1-5 March 2020

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

• Authors : Norouzzadeh, Mohammad Sadegh; Morris, Dan; Beery, Sara

Subjects: active learning; camera trap images; computer vision

• Source: Methods in Ecology and Evolution, 12(1), 150-161, (2021-01)

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WILDS: A Benchmark of in-the-Wild Distribution Shifts

• Authors : Koh, Pang Wei; Sagawa, Shiori; Marklund, Henrik

• Source: Proceedings of Machine Learning Research, 139, 5637-5664, (2021-07) ; 38th International Conference on Machine Learning, [Online Only], 18-24 July 2021

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