| Theory-inspired machine learning—towards a synergy between knowledge and data JG Hoffer, AB Ofner, FM Rohrhofer, M Lovrić, R Kern, S Lindstaedt, ... Welding in the World 66 (7), 1291-1304, 2022 | 16 | 2022 |
| Gaussian process surrogates for modeling uncertainties in a use case of forging superalloys JG Hoffer, BC Geiger, R Kern applied sciences 12 (3), 1089, 2022 | 14 | 2022 |
| Mesh-free surrogate models for structural mechanic FEM simulation: A comparative study of approaches JG Hoffer, BC Geiger, P Ofner, R Kern Applied Sciences 11 (20), 9411, 2021 | 14 | 2021 |
| Robust Bayesian target value optimization JG Hoffer, S Ranftl, BC Geiger Computers & Industrial Engineering 180, 109279, 2023 | 5 | 2023 |
| Solving multi-objective inverse problems of chained manufacturing processes JG Hoffer, BC Geiger, R Kern CIRP Journal of Manufacturing Science and Technology 40, 213-231, 2023 | 1 | 2023 |
| (X) AI-SPOT: an (X) AI-Supported Production Process Optimization Tool IG Mendoza Estrada, V Sabol, H Müller, JG Hoffer Companion Proceedings of the 29th International Conference on Intelligent …, 2024 | | 2024 |
| Prediction of Non-Conformity in Aerospace Production with Deep Learning and Explainable AI JG Hoffer, M Toller XLI. Verformungskundliches Kolloquium 1 (1), 92-97, 2023 | | 2023 |
| On the Importance of User Role-Tailored Explanations in Industry 5.0 I Mendoza, V Sabol, J and Hoffer Proceedings of the 18th International Joint Conference on Computer Vision …, 2023 | | 2023 |
| Mehrkörperanalyse und Digitalisierung des Einbauzustands von Schmiedewerkzeugen JG Hoffer | | 2019 |
Bernhard C. GeigerResearch Area Manager at Know-Center GmbHVerified email at ieee.org
