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Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds

https://doi.org/10.1371/journal.pone.0174785

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What this work says

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Additional file 1 of An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers

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Additional file 1 of Using tri-axial accelerometer loggers to identify spawning behaviours of large pelagic fish

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Additional file 1 of Prey ingestion rates revealed by back-mounted accelerometers in Eurasian spoonbills

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