Anna Wróbel
Anna Wróbel
ZHAW
School of Life Sciences and Facility Management
Institute of Computational Life Sciences
Schloss 1
8820 Wädenswil
Projects
- Shapescience – AI for morpholigcally based fruit variety recognition / Team member / ongoing
- PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses / Team member / completed
- What does the Swiss population eat? / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
- Wróbel, A., Sandamirskaya, Y. and Ott, T. (2025) 'Implementing a neuromorphic classifier for NIR spectra analysis of fruits', Nonlinear Theory and Its Applications, 16(2), pp. 222–232. doi: 10.1587/nolta.16.222.
- Laube, P. et al. (2023) 'Analysing and predicting wildlife–vehicle collision hotspots for the Swiss road network', Landscape Ecology, 38(7), pp. 1765–1783. doi: 10.1007/s10980-023-01655-5.
- Epper, P. et al. (2023) 'Increase of body temperature immediately after ovulation in mares', Journal of Equine Veterinary Science, 127(104565). doi: 10.1016/j.jevs.2023.104565.
- Müller, A. et al. (2022) 'Increase of skin temperature prior to parturition in mares', Theriogenology, 190, pp. 46–51. doi: 10.1016/j.theriogenology.2022.07.007.
- Bae, D. et al. (2022) 'Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors', Nutrients, 14(12), p. 2494. doi: 10.3390/nu14122494.
- Tschanz, L. et al. (2022) 'Characterisation of meat consumption across sociodemographic, lifestyle and anthropometric groups in Switzerland : results from the National Nutrition Survey menuCH', Public Health Nutrition, 25(11), pp. 3096–3106. doi: 10.1017/S136898002200101X.
- Sych, J. et al. (2019) 'Intake of processed meat and association with sociodemographic and lifestyle factors in a representative sample of the Swiss population', Nutrients, 11(11), p. 2556. doi: 10.3390/nu11112556.
Written conference contributions, peer-reviewed
- Wróbel, A., Sandamirskaya, Y. and Ott, T. (2023) 'A spiking neural network for classifying NIR spectra of fruits', in International Symposium on Nonlinear Theory and Its Applications (NOLTA), Catania, Italy, 26-29 September 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-30070.
- Wróbel, A. et al. (2020) 'Going for 2D or 3D? : investigating various machine learning approaches for peach variety identification', in Schilling, F.-P. and Stadelmann, T. (eds) Artificial Neural Networks in Pattern Recognition. Cham: Springer, pp. 257–265. doi: 10.1007/978-3-030-58309-5_21.
Other publications
Tschanz, L. et al. (2021) 'The first characterisation of meat consumption across sociodemographic, lifestyle and anthropometric groups in Switzerland : results from the National Nutrition Survey menuCH', in 58. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Ernährung, online, 17.-19. Februar 2021. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-23891.