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Evaluating the method reproducibility of deep learning models in biodiversity research.

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第一作者： Waqas,Ahmed

第一单位： Heinz Nixdorf Chair of Distributed Information Systems, Friedrich-Schiller Universität Jena, Jena, Thuringia, Germany.

作者： Waqas,Ahmed ^[1] ; Vamsi Krishna,Kommineni ^[2] ; Birgitta,König-Ries ^[3] ; Jitendra,Gaikwad ^[1] ; Luiz,Gadelha ^[1] ; Sheeba,Samuel ^[4]

作者单位： Heinz Nixdorf Chair of Distributed Information Systems, Friedrich-Schiller Universität Jena, Jena, Thuringia, Germany. ^[1] Heinz Nixdorf Chair of Distributed Information Systems, Friedrich-Schiller Universität Jena, Jena, Thuringia, Germany.;German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Sachsen, Germany.;Department of Functional Biogeography, Max Planck Institute for Biogeochemistry, Jena, Thuringia, Germany. ^[2] Heinz Nixdorf Chair of Distributed Information Systems, Friedrich-Schiller Universität Jena, Jena, Thuringia, Germany.;German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Sachsen, Germany.;Michael Stifel Center Jena, Jena, Thuringia, Germany. ^[3] Heinz Nixdorf Chair of Distributed Information Systems, Friedrich-Schiller Universität Jena, Jena, Thuringia, Germany.;Michael Stifel Center Jena, Jena, Thuringia, Germany. ^[4]

关键词 Biodiversity Deep learning Metadata Reproducibility

DOI 10.7717/peerj-cs.2618

PMID 40062266

发布时间 2025-03-11

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Evaluating the method reproducibility of deep learning models in biodiversity research.

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Evaluating the method reproducibility of deep learning models in biodiversity research.

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