Author

Valentin Ştefan

Helmholtz Centre for Environmental ResearchORCID 0000-0002-4757-8008Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Aletta BonniD· 1 shared Aspen WorkmaniD· 1 shared Bogdan JaroszewicziD· 1 shared Demetra Rakosy· 1 shared Erich SchrögeriD· 1 shared Felicitas Wolf· 1 shared Hannes TaubenböckiD· 1 shared Jared C. Cobain· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEcology

Aletta BonnORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Utilizing CNNs for classification and uncertainty quantification for 15 families of European fly pollinators

Thomas Stark, Michael Wurm, Valentin Ştefan, Felicitas Wolf, Hannes Taubenböck, Tiffany M. Knight

This study uses CNNs to classify 15 European fly families and quantify uncertainty, achieving 95.61% accuracy with EfficientNetB4.

PLoS ONE · Sep 10, 2025Peer-reviewedEcology

Perceived biodiversity: is what we measure also what we see and hear?

Kevin Rozario, Taylor Shaw, Melissa R. Marselle, Rachel Rui Ying Oh, Erich Schröger, Mateo Giraldo Botero, Julian Frey, Valentin Ştefan, Sandra Müller, Michael Scherer‐Lorenzen, Bogdan Jaroszewicz, Kris Verheyen, Aletta Bonn

This study investigates how people perceive visual and acoustic diversity in forests and finds that acoustic perceptions are more strongly linked to actual species richness than visual ones.

People and Nature · Jul 7, 2025Peer-reviewedEcology

Utilising affordable smartphones and open-source time-lapse photography for monitoring pollinators

Valentin Ștefan, Aspen Workman, Jared C. Cobain, Demetra Rakosy, Tiffany M. Knight

This study evaluates using smartphones and time-lapse photography for pollinator monitoring, finding that bees can be identified to genus level but flies are more challenging due to size and features.

bioRxiv · Jan 31, 2024Ecology