Beilfuss, T., Kortmann, K. P., Wielitzka, M., Hansen, C., & Ortmaier, T. (2021). Real-Time Classification of Road Type and Condition in Passenger Vehicles. IFAC-PapersOnLine, 53(2), 14254-14260. doi.org/10.1016/j.ifacol.2020.12.1161

Kortmann, K-P., Fehsenfeld, M., & Wielitzka, M. (2021). Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems. arxiv.org/abs/2104.02784

Kortmann, K-P., Fehsenfeld, M. J., & Wielitzka, M. (2021). Featureextraktion aus heterogenen multivariaten Zeitreihendaten mechatronischer Systeme mittels Autoencoder-Netzwerken. in Digital‐Fachtagung VDI MECHATRONIK 2021 (S. 74-79). doi.org/10.26083/tuprints-00017626

Kortmann, K. P., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2021). Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation. IFAC-PapersOnLine, 53(2), 11125-11131. doi.org/10.1016/j.ifacol.2020.12.271

Zumsande, J., Kortmann, K. P., Wielitzka, M., & Ortmaier, T. (2021). Bayesian Fill Volume Estimation Based on Point Level Sensor Signals. IFAC-PapersOnLine, 53(2), 1261-1267. doi.org/10.1016/j.ifacol.2020.12.1852

Zumsande, J., Kortmann, K-P., Ortmaier, T., & Wielitzka, M. (2021). Estimation of Stochastic Time Lags between Data Sources in Distributed Production Facilities Based on Cross-Correlated Signals. 22th IEEE International Conference On Industrial Technology (ICIT) 2021, Valencia, Spanien. ieee-icit2021.org/wp-content/uploads/2021/03/ieee-icit-2021-final-program.pdf

Laves, M-H., Ihler, S., Kortmann, K-P., & Ortmaier, T. (2020). Calibration of Model Uncertainty for Dropout Variational Inference. arxiv.org/abs/2006.11584

Kortmann, K-P., Seel, A., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2019). Entwicklung eines stochastischen Werkstücktrackings für (teil-)automatisierte Produktionsprozesse. Beitrag in Fachtagung Mechatronik, Paderborn, Nordrhein-Westfalen, Deutschland. doi.org/10.17619/UNIPB/1-775

Laves, M-H., Ihler, S., Kortmann, K-P., & Ortmaier, T. (2019). Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. Beitrag in 4th workshop on Bayesian Deep Learning, Vancouver, Kanada.

Zumsande, J., Kortmann, K-P., Wielitzka, M., Hansen, C., & Ortmaier, T. (2019). Mehrkriterielle Prozessoptimierung in der digitalisierten Produktion. Beitrag in Fachtagung Mechatronik, Paderborn, Nordrhein-Westfalen, Deutschland. doi.org/10.17619/UNIPB/1-785

Zumsande, J., Kortmann, K. P., Wielitzka, M., & Ortmaier, T. (2019). Probabilistic Simulation and Determination of Sojourn Time Distribution in Manufacturing Processes. in Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 (S. 2094-2099). [8816629] Institute of Electrical and Electronics Engineers Inc.. doi.org/10.1109/icma.2019.8816629