Author

B. Freisleben

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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Animal Behavior & Cognition· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

J. Gottwald· 2 shared P. Lampe· 2 shared R. Brandl· 2 shared T. Nauss· 2 shared D. G. Schabo· 1 shared J. Hoechst· 1 shared J. Maier· 1 shared J. Mielke Moeglich· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersEcology

J. Gottwald

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2 papers

Recent·Most cited

Automated non-lethal moth traps can be used for robust estimates of moth abundance

J. Mielke Moeglich, P. Lampe, M. Fickus, J. Gottwald, T. Nauss, R. Brandl, M. Braendle, N. Friess, B. Freisleben, L. Heidrich

This study evaluates an automated non-lethal moth trap's effectiveness in estimating moth abundance compared to a conventional lethal trap, finding similar seasonal patterns but requiring adjustments for long-term use.

bioRxiv · Jun 13, 2022 · PreprintEcology

Classifying the activity states of small vertebrates using automated VHF telemetry

J. Gottwald, R. Royaute, M. Becker, T. Geitz, J. Hoechst, P. Lampe, L. Leister, K. Lindner, J. Maier, S. Roesner, D. G. Schabo, B. Freisleben, T. Mueller, R. Brandl, N. Farwig, T. Nauss

This paper develops a random forest model to classify activity states of small vertebrates using VHF telemetry signals, achieving high accuracy across species.

bioRxiv · Mar 22, 2022Animal Behavior & Cognition