Author

P. E. Schlichting

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

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

J. S. Lewis· 2 shared K. C. VerCauteren· 2 shared M. A. Tabak· 2 shared N. P. Snow· 2 shared R. S. Miller· 2 shared A. K. Moeller· 1 shared B. Teton· 1 shared B. Wight· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersEcology

J. S. Lewis

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2 papers

Recent·Most cited

rapidPop: Rapid population assessments of wildlife using camera trap data in R Shiny Applications

M. A. Tabak, J. S. Lewis, P. E. Schlichting, N. P. Snow, K. C. VerCauteren, R. S. Miller

The paper introduces an R package for rapid population assessments using camera trap data, enabling occupancy modeling with Shiny applications to analyze density changes.

bioRxiv · Mar 30, 2020 · PreprintEcology

Machine learning to classify animal species in camera trap images: applications in ecology

M. A. Tabak, M. S. Norouzzadeh, D. W. Wolfson, S. J. Sweeney, K. C. VerCauteren, N. P. Snow, J. M. Halseth, P. A. Di Salvo, J. S. Lewis, M. D. White, B. Teton, J. C. Beasley, P. E. Schlichting, R. K. Boughton, B. Wight, , R. S. Miller

This paper trains a machine learning model to classify animal species in camera trap images, achieving high accuracy and providing an R package for ecological use.

bioRxiv · Jul 9, 2018Ecology