| A review of machine learning for the optimization of production processes D Weichert, P Link, A Stoll, S Rüping, S Ihlenfeldt, S Wrobel The International Journal of Advanced Manufacturing Technology 104 (5), 1889 …, 2019 | 315 | 2019 |
| Optimal probabilistic classification in active class selection M Bunse, D Weichert, A Kister, K Morik 2020 IEEE International Conference on Data Mining (ICDM), 942-947, 2020 | 6 | 2020 |
| Robustness in fatigue strength estimation D Weichert, A Kister, S Houben, G Ernis, S Wrobel arXiv preprint arXiv:2212.01136, 2022 | 4 | 2022 |
| Bayesian optimization for min max optimization D Weichert, A Kister arXiv preprint arXiv:2107.13772, 2021 | 4 | 2021 |
| Explainable production planning under partial observability in high-precision manufacturing D Weichert, A Kister, P Volbach, S Houben, M Trost, S Wrobel Journal of Manufacturing Systems 70, 514-524, 2023 | 1 | 2023 |
| Monte Carlo Tree Search for high precision manufacturing D Weichert, F Horchler, A Kister, M Trost, J Hartung, S Risse arXiv preprint arXiv:2108.01789, 2021 | 1 | 2021 |
| Robust Entropy Search for Safe Efficient Bayesian Optimization D Weichert, A Kister, P Link, S Houben, G Ernis arXiv preprint arXiv:2405.19059, 2024 | | 2024 |
| Graph Gaussian Processes for Efficient Robust Monte Carlo Tree Search D Weichert, S Wiest, S Houben, P Ploeger 5th Workshop on practical ML for limited/low resource settings, 2024 | | 2024 |
| A Bayesian Approach to Adversarially Robust Life Testing D Weichert, A Kister, S Houben, G Ernis, T Wirtz ICML'24 Workshop ML for Life and Material Science: From Theory to Industry …, 2024 | | 2024 |
| KI-gestütztes Design of Experiments in Forschung und Entwicklung D Weichert, G Ernis | | 2022 |
