Maximilian Pichler
Maximilian Pichler
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Cited by
Cited by
Machine learning algorithms to infer trait matching and predict species interactions in ecological networks
M Pichler, V Boreux, AM Klein, M Schleuning, F Hartig
Methods in Ecology and Evolution, 2019
A new joint species distribution model for faster and more accurate inference of species associations from big community data
M Pichler, F Hartig
Methods in Ecology and Evolution, 2021
Machine learning and deep learning—A review for ecologists
M Pichler, F Hartig
Methods in Ecology and Evolution 14 (4), 994-1016, 2023
Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables
J Oberpriller, M de Souza Leite, M Pichler
Ecology and Evolution 12 (7), e9062, 2022
Linking functional traits and demography to model species-rich communities
L Chalmandrier, F Hartig, DC Laughlin, H Lischke, M Pichler, DB Stouffer, ...
Nature communications 12 (1), 2724, 2021
Machine‐learning algorithms predict soil seed bank persistence from easily available traits
S Rosbakh, M Pichler, P Poschlod
Applied Vegetation Science 25 (2), e12660, 2022
Novel community data in ecology-properties and prospects
F Hartig, N Abrego, A Bush, JM Chase, G Guillera-Arroita, MA Leibold, ...
Trends in Ecology & Evolution, 2024
Can predictive models be used for causal inference?
M Pichler, F Hartig
arXiv preprint arXiv:2306.10551, 2023
cito: An R package for training neural networks using torch
C Amesoeder, F Hartig, M Pichler
arXiv preprint arXiv:2303.09599, 2023
Combining environmental DNA and remote sensing for efficient, fine-scale mapping of arthropod biodiversity
Y Li, C Devenish, M Tosa, M Luo, D Bell, D Lesmeister, P Greenfield, ...
bioRxiv, 2023.09. 07.556488, 2023
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