2020

Bamberg, A., Urbas, L., Bröcker, S., Kockmann, N., & Bortz, M. (2020). Was den Digitalen Zwilling zum genialen Kompagnon macht. Chemie Ingenieur Technik, 92(3), 192–198. https://doi.org/10.1002/cite.201900168

Heese, R., & Bortz, M. (2021, January 10–15). Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 3404–3411). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412217

Heese, R., Nies, J., & Bortz, M. (2020). Some Aspects of Combining Data and Models in Process Engineering. Chemie Ingenieur Technik, 92(7), 856–866. https://doi.org/10.1002/cite.202000007

Khaydarov, V., Heinze, S., Graube, M., Knupfer, A., Knespel, M., Merkelbach, S., & Urbas, L. (2020, September 8–11). From stirring to mixing: artificial intelligence in the process industry. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 967–974). IEEE. https://doi.org/10.1109/ETFA46521.2020.9212018