Journals and conferences:
- H. Vietz, T. Rauch, A. Löcklin, N. Jazdi, and M. Weyrich, “A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Network,” in 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 23-27 August 2021, 2021, pp. 2045–2050.
- A. Löcklin, H. Vietz, D. White, T. Ruppert, N. Jazdi, and M. Weyrich, “Data administration shell for data-science-driven development,” Procedia CIRP, vol. 100, pp. 115-120, Mai 2021, 2021.
- B. Lindemann, T. Müller, H. Vietz, N. Jazdi, and M. Weyrich, “A Survey on Long Short-Term Memory Networks for Time Series Prediction,” in 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering CIRP ICME ‘20 (Virtual Conference), 15-17 July 2020, Gulf of Naples, Italy, 2020.
- B. Maschler, H. Vietz, N. Jazdi, and M. Weyrich, “Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 959-966, 2020.
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