Dominik Brunmeir
Projektass. Dipl.-Ing.
Role
-
PreDoc Researcher
Data Science, E194-04
Publications
- Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects / Bicher, M., Rippinger, C., Schneckenreither, G., Weibrecht, N., Urach, C., Zechmeister, M., Brunmeir, D., Huf, W., & Popper, N. (2022). Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects. Scientific Reports, 12(1), Article 2872. https://doi.org/10.1038/s41598-022-06771-x
- Evaluation of undetected cases during the COVID-19 epidemic in Austria / Rippinger, C., Bicher, M., Urach, C., Brunmeir, D., Weibrecht, N., Zauner, G., Sroczynski, G., Jahn, B., Mühlberger, N., Siebert, U., & Popper, N. (2021). Evaluation of undetected cases during the COVID-19 epidemic in Austria. BMC Infectious Diseases, 21(70). https://doi.org/10.1186/s12879-020-05737-6
- Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling / Schneckenreither, G., Tschandl, P., Rippinger, C., Sinz, C., Brunmeir, D., Popper, N., & Kittler, H. (2021). Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling. PLoS Computational Biology, 17(2), e1008660. https://doi.org/10.1371/journal.pcbi.1008660
- Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation / Popper, N., Zechmeister, M., Brunmeir, D., Rippinger, C., Weibrecht, N., Urach, C., Bicher, M., Schneckenreither, G., & Rauber, A. (2021). Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation. Data Science Journal, 20. https://doi.org/10.5334/dsj-2021-016
- Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation / Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Siebert, U., & Popper, N. (2021). Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation. Medical Decision Making, 41(8), 1017–1032. https://doi.org/10.1177/0272989x211013306
- From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees / Zeckl, J., Wastian, M., Brunmeir, D., Rappelsberger, A., Arseniev, S. B., & Adlassnig, K.-P. (2021). From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees. In V. Kreinovich & N. Hoang Phuong (Eds.), Studies in Computational Intelligence (pp. 89–99). Springer. https://doi.org/10.1007/978-3-030-49536-7_9