Perspectives in machine learning for wildlife conservation.
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| Title: | Perspectives in machine learning for wildlife conservation. |
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| Authors: | Tuia D; School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. devis.tuia@epfl.ch., Kellenberger B; School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Beery S; Department of Computing and Mathematical Sciences, California Institute of Technology (Caltech), Pasadena, CA, USA., Costelloe BR; Max Planck Institute of Animal Behavior, Radolfzell, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany.; Department of Biology, University of Konstanz, Konstanz, Germany., Zuffi S; Institute for Applied Mathematics and Information Technologies, IMATI-CNR, Pavia, Italy., Risse B; Computer Science Department, University of Münster, Münster, Germany., Mathis A; School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Mathis MW; School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., van Langevelde F; Environmental Sciences Group, Wageningen University, Wageningen, Netherlands., Burghardt T; Computer Science Department, University of Bristol, Bristol, UK., Kays R; Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA.; North Carolina Museum of Natural Sciences, Raleigh, NC, USA., Klinck H; Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA., Wikelski M; Max Planck Institute of Animal Behavior, Radolfzell, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany., Couzin ID; Max Planck Institute of Animal Behavior, Radolfzell, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany.; Department of Biology, University of Konstanz, Konstanz, Germany., van Horn G; Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA., Crofoot MC; Max Planck Institute of Animal Behavior, Radolfzell, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany.; Department of Biology, University of Konstanz, Konstanz, Germany., Stewart CV; Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA., Berger-Wolf T; Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA.; Departments of Computer Science and Engineering; Electrical and Computer Engineering; Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH, USA. |
| Source: | Nature communications [Nat Commun] 2022 Feb 09; Vol. 13 (1), pp. 792. Date of Electronic Publication: 2022 Feb 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-022-27980-y |
