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Publikationen von 0000-0003-2252-8327
(ORCID: 0000-0003-2252-8327)
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Anzahl der Einträge: 8.
2024
Pichler, Maximilian Matthias 
(2024)
Machine Learning and Deep Learning in Ecology – from predictions to mechanistic inference.
Dissertation, Universität Regensburg.
Amesöder, Christian , Hartig, Florian und Pichler, Maximilian
(2024)
‘cito': an R package for training neural networks using ‘torch'.
Ecography 2024 (6), e07143.
2023
Pichler, Maximilian und Hartig, Florian
(2023)
Machine learning and deep learning—A review for ecologists.
Methods in Ecology and Evolution, (early view).
2022
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.
2021
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.
2020
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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