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Nina van Tiel
Nina van Tiel
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Ignoring fossil age uncertainty leads to inaccurate topology and divergence time estimates in time calibrated tree inference
J Barido-Sottani, NMA Van Tiel, MJ Hopkins, DF Wright, T Stadler, ...
Frontiers in Ecology and Evolution 8, 183, 2020
282020
A geospatial mapping pipeline for ecologists
J van den Hoogen, N Robmann, D Routh, T Lauber, N van Tiel, O Danylo, ...
BioRxiv, 2021.07. 07.451145, 2021
152021
Fungal community composition predicts forest carbon storage at a continental scale
MA Anthony, L Tedersoo, B De Vos, L Croisé, H Meesenburg, M Wagner, ...
Nature Communications 15 (1), 2385, 2024
22024
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition From Drone Videos
M Kholiavchenko, J Kline, M Ramirez, S Stevens, A Sheets, R Babu, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
A Framework for Autonomic Computing for In Situ Imageomics
J Kline, C Stewart, T Berger-Wolf, M Ramirez, S Stevens, RR Babu, ...
2023 IEEE International Conference on Autonomic Computing and Self …, 2023
22023
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
R Zbinden, N van Tiel, M Rußwurm, D Tuia
arXiv preprint arXiv:2403.07472, 2024
2024
How quickly are canopy temperatures approaching their critical limit in the tropics?
G Lenczner, N van Tiel, D Tuia, C Grossiord
EGU24, 2024
2024
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
R Zbinden, N van Tiel, B Kellenberger, L Hughes, D Tuia
arXiv preprint arXiv:2401.02989, 2024
2024
Modeling global tree species composition and its response to forest loss and climate change
NMA Van Tiel, D Tuia, T Crowther, L Pellissier
9th European Conference on Ecological Modelling, ECEM, 2023
2023
Exploring neural networks and their potential for species distribution modeling
R Zbinden, NMA Van Tiel, BA Kellenberger, L Hughes, D Tuia
11th International Conference on Learning Representations (ICLR) Workshops, 2023
2023
Mapping tree species for restoration potential resilient to climate change
N van Tiel, L Lyu, F Fopp, P Brun, J van den Hoogen, DN Karger, ...
bioRxiv, 2021.06. 04.447113, 2021
2021
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