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Publikationen von Pichler, Maximilian
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Anzahl der Einträge: 7.
Artikel
Amesöder, Christian 
, Hartig, Florian und Pichler, Maximilian
(2024)
‘cito': an R package for training neural networks using ‘torch'.
Ecography 2024 (6).
Pichler, Maximilian und Hartig, Florian
(2023)
Machine learning and deep learning—A review for ecologists.
Methods in Ecology and Evolution, (early view).
Oberpriller, Johannes , de Souza Leite, Melina und Pichler, Maximilian
(2022)
Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables.
Ecology and Evolution 12 (7), e9062.
Rosbakh, Sergey , Pichler, Maximilian , Poschlod, Peter und Török, Péter
(2022)
Machine‐learning algorithms predict soil seed bank persistence from easily available traits.
Applied Vegetation Science 25 (2), e12660.
Pichler, Maximilian und Hartig, Florian
(2021)
A new joint species distribution model for faster and more accurate inference of species associations from big community data.
Methods in Ecology and Evolution 12, S. 2159-2173.
Chalmandrier, Loïc , Hartig, Florian , Laughlin, Daniel C., Lischke, Heike , Pichler, Maximilian , Stouffer, Daniel B. und Pellissier, Loïc
(2021)
Linking functional traits and demography to model species-rich communities.
Nature Communications 12 (1).
Volltext nicht vorhanden.
, Hartig, Florian , Laughlin, Daniel C., Lischke, Heike , Pichler, Maximilian , Stouffer, Daniel B. und Pellissier, Loïc
(2021)
Linking functional traits and demography to model species-rich communities.
Nature Communications 12 (1).
Volltext nicht vorhanden.
Pichler, Maximilian , Boreux, V., Klein, A.-M. und Hartig, Florian
(2020)
Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks.
Methods in Ecology and Evolution 11, S. 281-293.
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