2021
DOI: 10.1101/2021.04.19.438554
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Deep inference of seabird dives from GPS-only records: performance and generalization properties

Abstract: Seabirds are considered as suitable indicators for the study of marine ecosystems, since their foraging strategies provide a real-time response to complex ecosystem dynamics. By deploying GPS sensors on seabirds it is possible to obtain their trajectories, and deep learning have recently shown promising results for the classification of animal behaviour from trajectory data. Yet there is still lot of investigation needed in terms of network architectures, data representation but also to demonstrate the general… Show more

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