Anna Wróbel
Anna Wróbel
ZHAW
School of Life Sciences and Facility Management
FG Neuromorphic Computing Group
Schloss 1
8820 Wädenswil
Projects
- Shapescience – AI for morpholigcally based fruit variety recognition / Team member / laufend
- PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses / Team member / abgeschlossen
- What does the Swiss population eat? / Team member / abgeschlossen
Publications
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Epper, Pascale; Glüge, Stefan; Vidondo, Beatriz; Wróbel, Anna; Ott, Thomas; Sieme, Harald; Kaeser, Rebekka; Burger, Dominik,
2023.
Increase of body temperature immediately after ovulation in mares.
Journal of Equine Veterinary Science.
127(104565).
Available from: https://doi.org/10.1016/j.jevs.2023.104565
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Laube, Patrick; Ratnaweera, Nils; Wróbel, Anna; Kaelin, Ivo; Stephani, Annette; Reifler-Baechtiger, Martina; Graf, Roland F.; Suter, Stefan,
2023.
Analysing and predicting wildlife–vehicle collision hotspots for the Swiss road network.
Landscape Ecology.
38(7), pp. 1765-1783.
Available from: https://doi.org/10.1007/s10980-023-01655-5
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Müller, Antonia; Glüge, Stefan; Vidondo, Beatriz; Wróbel, Anna; Ott, Thomas; Sieme, Harald; Burger, Dominik,
2022.
Increase of skin temperature prior to parturition in mares.
Theriogenology.
190, pp. 46-51.
Available from: https://doi.org/10.1016/j.theriogenology.2022.07.007
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Bae, Dasom; Wróbel, Anna; Kaelin, Ivo; Pestoni, Giulia; Rohrmann, Sabine; Sych, Janice Marie,
2022.
Nutrients.
14(12), pp. 2494.
Available from: https://doi.org/10.3390/nu14122494
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Tschanz, Linda; Kaelin, Ivo; Wróbel, Anna; Rohrmann, Sabine; Sych, Janice Marie,
2022.
Public Health Nutrition.
25(11), pp. 3096-3106.
Available from: https://doi.org/10.1017/S136898002200101X
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Sych, Janice; Kaelin, Ivo; Gerlach, Fabienne; Wróbel, Anna; Le, Thu; FitzGerald, Rex; Pestoni, Giulia; Faeh, David; Krieger, Jean-Philippe; Rohrmann, Sabine,
2019.
Nutrients.
11(11), pp. 2556.
Available from: https://doi.org/10.3390/nu11112556
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Wróbel, Anna; Sandamirskaya, Yulia; Ott, Thomas,
2023.
A spiking neural network for classifying NIR spectra of fruits [paper].
In:
International Symposium on Nonlinear Theory and Its Applications (NOLTA), Catania, Italy, 26-29 September 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-30070
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Wróbel, Anna; Gygax, Gregory; Schmid, Andi; Ott, Thomas; et al.,
2020.
In:
Schilling, Frank-Peter; Stadelmann, Thilo, eds.,
Artificial Neural Networks in Pattern Recognition.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Cham:
Springer.
pp. 257-265.
Lecture Notes in Computer Science ; 12294.
Available from: https://doi.org/10.1007/978-3-030-58309-5_21
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Tschanz, Linda; Kaelin, Ivo; Wróbel, Anna; Pestoni, Guilia; Rohrmann, Sabine; Herter-Aeberli, Isabelle; Sych, Janice Marie,
2021.
In:
58. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Ernährung, online, 17.-19. Februar 2021.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-23891