output
20182025
most citedSeeing biodiversity: perspectives in machine learning for wildlife conservation

733 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

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cs.LG2025

Resource efficient data transmission on animals based on machine learning

Wilhelm Kerle-Malcharek, Karsten Klein, Martin Wikelski +2

Bio-loggers, electronic devices used to track animal behaviour through various sensors, have become essential in wildlife research. Despite continuous improvements in their capabil…

cs.LG2021★ 733 cited

Seeing biodiversity: perspectives in machine learning for wildlife conservation

Devis Tuia, Benjamin Kellenberger, Sara Beery +15

Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging device…