Anna Wróbel

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., & Ott, T. (2025). Implementing a neuromorphic classifier for NIR spectra analysis of fruits. Nonlinear Theory and Its Applications, 16(2), 222–232. https://doi.org/10.1587/nolta.16.222
• Laube, P., Ratnaweera, N., Wróbel, A., Kaelin, I., Stephani, A., Reifler-Baechtiger, M., Graf, R. F., & Suter, S. (2023). Analysing and predicting wildlife–vehicle collision hotspots for the Swiss road network. Landscape Ecology, 38(7), 1765–1783. https://doi.org/10.1007/s10980-023-01655-5
• Epper, P., Glüge, S., Vidondo, B., Wróbel, A., Ott, T., Sieme, H., Kaeser, R., & Burger, D. (2023). Increase of body temperature immediately after ovulation in mares. Journal of Equine Veterinary Science, 127(104565). https://doi.org/10.1016/j.jevs.2023.104565
• Müller, A., Glüge, S., Vidondo, B., Wróbel, A., Ott, T., Sieme, H., & Burger, D. (2022). Increase of skin temperature prior to parturition in mares. Theriogenology, 190, 46–51. https://doi.org/10.1016/j.theriogenology.2022.07.007
• Bae, D., Wróbel, A., Kaelin, I., Pestoni, G., Rohrmann, S., & Sych, J. M. (2022). Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors. Nutrients, 14(12), 2494. https://doi.org/10.3390/nu14122494
• Tschanz, L., Kaelin, I., Wróbel, A., Rohrmann, S., & Sych, J. M. (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), 3096–3106. https://doi.org/10.1017/S136898002200101X
• Sych, J., Kaelin, I., Gerlach, F., Wróbel, A., Le, T., FitzGerald, R., Pestoni, G., Faeh, D., Krieger, J.-P., & Rohrmann, S. (2019). Intake of processed meat and association with sociodemographic and lifestyle factors in a representative sample of the Swiss population. Nutrients, 11(11), 2556. https://doi.org/10.3390/nu11112556

Written conference contributions, peer-reviewed

• Wróbel, A., Sandamirskaya, Y., & Ott, T. (2023, September). A spiking neural network for classifying NIR spectra of fruits. International Symposium on Nonlinear Theory and Its Applications (NOLTA), Catania, Italy, 26-29 September 2023. https://doi.org/10.21256/zhaw-30070
• Wróbel, A., Gygax, G., Schmid, A., & Ott, T. (2020). Going for 2D or 3D? : investigating various machine learning approaches for peach variety identification [Conference paper]. In F.-P. Schilling & T. Stadelmann (Eds.), Artificial Neural Networks in Pattern Recognition (pp. 257–265). Springer. https://doi.org/10.1007/978-3-030-58309-5_21

Other publications

Tschanz, L., Kaelin, I., Wróbel, A., Pestoni, G., Rohrmann, S., Herter-Aeberli, I., & Sych, J. M. (2021, February 17). The first characterisation of meat consumption across sociodemographic, lifestyle and anthropometric groups in Switzerland : results from the National Nutrition Survey menuCH. 58. Wissenschaftlicher Kongress Der Deutschen Gesellschaft Für Ernährung, Online, 17.-19. Februar 2021. https://doi.org/10.21256/zhaw-23891

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