Author

Johannes Signer

University of GöttingenORCID 0000-0002-1771-7775Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

A. Selmovič· 1 shared Aleš VoreliD· 1 shared Ivo KadleciD· 1 shared Lucie PeškováiD· 1 shared Martin DuľaiD· 1 shared Martin SládečekiD· 1 shared Miroslav KutaliD· 1 shared N. Stier· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperEcology

A. Selmovič

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Author profile →

1 paper

Recent·Most cited

Segmentation and profile-based classification of movement strategies from animal tracking data

Ivo Kadlec, Aleš Vorel, Martin Sládeček, Miroslav Kutal, Martin Duľa, A. Selmovič, Vendula Meissner-Hylanova, N. Stier, Lucie Pešková, Vojtěch Barták, Johannes Signer

This paper introduces a profile-based framework for classifying animal movement strategies from GPS tracking data, achieving high accuracy with limited training data and providing uncertainty estimates.

bioRxiv · May 14, 2026 · PreprintEcology