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

• Wróbel, Anna; Sandamirskaya, Yulia; Ott, Thomas,

  2025.

  Implementing a neuromorphic classifier for NIR spectra analysis of fruits.

  Nonlinear Theory and Its Applications.

  16(2), pp. 222-232.

  Available from: https://doi.org/10.1587/nolta.16.222

• 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

• 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

• 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

• Bae, Dasom; Wróbel, Anna; Kaelin, Ivo; Pestoni, Giulia; Rohrmann, Sabine; Sych, Janice Marie,

  2022.

  Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors.

  Nutrients.

  14(12), pp. 2494.

  Available from: https://doi.org/10.3390/nu14122494

• Tschanz, Linda; Kaelin, Ivo; Wróbel, Anna; Rohrmann, Sabine; Sych, Janice Marie,

  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.

  Available from: https://doi.org/10.1017/S136898002200101X

• Sych, Janice; Kaelin, Ivo; Gerlach, Fabienne; Wróbel, Anna; Le, Thu; FitzGerald, Rex; Pestoni, Giulia; Faeh, David; Krieger, Jean-Philippe; Rohrmann, Sabine,

  2019.

  Intake of processed meat and association with sociodemographic and lifestyle factors in a representative sample of the Swiss population.

  Nutrients.

  11(11), pp. 2556.

  Available from: https://doi.org/10.3390/nu11112556

• 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

• Wróbel, Anna; Gygax, Gregory; Schmid, Andi; Ott, Thomas; et al.,

  2020.

  Going for 2D or 3D? : investigating various machine learning approaches for peach variety identification[paper].

  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

• Tschanz, Linda; Kaelin, Ivo; Wróbel, Anna; Pestoni, Guilia; Rohrmann, Sabine; Herter-Aeberli, Isabelle; Sych, Janice Marie,

  2021.

  The first characterisation of meat consumption across sociodemographic, lifestyle and anthropometric groups in Switzerland : results from the National Nutrition Survey menuCH[poster].

  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

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