| Updated bounds on axion-like particles from X-ray observations S Schallmoser, S Krippendorf, F Chadha-Day, J Weller Monthly Notices of the Royal Astronomical Society 514 (1), 329-341, 2022 | 15 | 2022 |
| Machine Learning for Predicting Micro-and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study S Schallmoser, T Zueger, M Kraus, M Saar-Tsechansky, C Stettler, ... Journal of Medical Internet Research 25, e42181, 2023 | 13 | 2023 |
| Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes T Zueger*, S Schallmoser*, M Kraus, M Saar-Tsechansky, S Feuerriegel, ... Diabetes technology & therapeutics 24 (11), 842-847, 2022 | 11 | 2022 |
| Explainable AI improves task performance in human-AI collaboration J Senoner*, S Schallmoser*, B Kratzwald, S Feuerriegel, T Netland arXiv e-prints, arXiv: 2406.08271, 2024 | 1 | 2024 |
| Machine Learning to Infer a Health State Using Biomedical Signals—Detection of Hypoglycemia in People with Diabetes while Driving Real Cars V Lehmann, T Zueger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... NEJM AI 1 (3), AIoa2300013, 2024 | 1 | 2024 |
| 234-OR: Noninvasive Hypoglycemia Detection during Real Car Driving Using In-Vehicle Data V Lehmann, T Zueger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... Diabetes 71 (Supplement_1), 2022 | 1 | 2022 |
| Review wetenschappelijk congres American Diabetes Association V Lehmann, T Zueger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... | | 2022 |
