| Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool. V Samsonov, C Enslin, HG Köpken, S Baer, D Lütticke ICEIS (1), 506-514, 2020 | 9 | 2020 |
| Data-driven decision support for process quality improvements D Buschmann, C Enslin, H Elser, D Lütticke, RH Schmitt Procedia CIRP 99, 313-318, 2021 | 6 | 2021 |
| Optimisation of a workpiece clamping position with reinforcement learning for complex milling applications C Enslin, V Samsonov, HG Köpken, S Bär, D Lütticke International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 5 | 2021 |
| A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series Z Ma, M Kemmerling, D Buschmann, C Enslin, D Lütticke, RH Schmitt Symmetry 15 (5), 982, 2023 | 3 | 2023 |
| Entscheidungsunterstützung im Produktionsmanagement: Berichte aus dem Exzellenzcluster Internet of Production K Müller, D Buschmann, S Cramer, C Enslin, M Fischer, T Janke, ... Zeitschrift für wirtschaftlichen Fabrikbetrieb 117 (3), 98-103, 2022 | 3 | 2022 |
| ProdSim: An Open-source Python Package for Generating High-resolution Synthetic Manufacturing Data on Product, Machine and Shop-Floor Levels T Fuchs, C Enslin, V Samsonov, D Lütticke, RH Schmitt Procedia CIRP 107, 1343-1348, 2022 | 3 | 2022 |
| Acquiring Process Knowledge in Extrusion-Based Additive Manufacturing via Interpretable Machine Learning L Pelzer, T Schulze, D Buschmann, C Enslin, R Schmitt, C Hopmann Polymers 15 (17), 3509, 2023 | 2 | 2023 |
| Interpretation Framework of Predictive Quality Models for Process-and Product-oriented Decision Support D Buschmann, T Schulze, C Enslin, RH Schmitt Procedia CIRP 118, 1066-1071, 2023 | 2 | 2023 |
| Anomaly Detection in Control Systems With Interval Dissimilarity M Kemmerling, M Combrzynski-Nogala, M Haßler, C Enslin, D Lütticke, ... 2022 Cybernetics & Informatics (K&I), 1-6, 2022 | 2 | 2022 |
| Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks. N Schaaf, HA Zhou, C Enslin, F Brillowski, D Lütticke ICAART (3), 801-809, 2022 | 2 | 2022 |
| Managing Disruptions in Production with Machine Learning V Samsonov, C Enslin, B Lütkehoff, F Steinlein, D Lütticke, V Stich https://doi. org/10.15488/9640, 2020 | 2 | 2020 |
| Improving Shop Floor-Near Production Management Through Data-Driven Insights RH Schmitt, R Kiesel, D Buschmann, S Cramer, C Enslin, M Fischer, ... Internet of Production: Fundamentals, Methods and Applications, 367-390, 2023 | 1 | 2023 |
| A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series. Symmetry 2023, 15, 982 Z Ma, M Kemmerling, D Buschmann, C Enslin, D Lütticke, RH Schmitt | | 2023 |
