| PiHearts: Resonating Experiences of Self and Others Enabled by a Tangible Somaesthetic Design I Aslan, A Seiderer, CT Dang, S Rädler, E André Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 12 | 2020 |
| Self-organised construction with Revit S Edenhofer, S Rädler, M Hoß, S Von Mammen 2016 IEEE 1st International Workshops on Foundations and Applications of …, 2016 | 12 | 2016 |
| A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice S Rädler, E Rigger Proceedings of the Design Society 2, 1699-1708, 2022 | 6 | 2022 |
| Participative Method to identify Data-Driven Design Use Cases S Rädler, E Rigger IFIP International Conference on Product Lifecycle Management, 680-694, 2020 | 4 | 2020 |
| Integration of Machine Learning Task Definition in Model-Based Systems Engineering using SysML S Rädler, E Rigger, J Mangler, S Rinderle-Ma 2022 IEEE 20th International Conference on Industrial Informatics (INDIN …, 2022 | 2 | 2022 |
| Resonating experiences of self and others enabled by a tangible somaesthetic design I Aslan, A Seiderer, CT Dang, S Rädler, E André arXiv preprint arXiv:2005.02304, 2020 | 2 | 2020 |
| Model-Driven Engineering for Artificial Intelligence--A Systematic Literature Review S Raedler, L Berardinelli, K Winter, A Rahimi, S Rinderle-Ma arXiv preprint arXiv:2307.04599, 2023 | 1 | 2023 |
| Integrating Computational Design Support in Model-Based Systems Engineering Using Model Transformations E Rigger, S Rädler, T Stankovic IFIP International Conference on Product Lifecycle Management, 186-195, 2022 | 1 | 2022 |
| Requirements for Manufacturing Data Collection to Enable Data-Driven Design S Rädler, J Mangler, E Rigger Procedia CIRP 112, 232-237, 2022 | 1 | 2022 |
| Code Generation for Machine Learning using Model-Driven Engineering and SysML S Raedler, M Rupp, E Rigger, S Rinderle-Ma arXiv preprint arXiv:2307.05584, 2023 | | 2023 |
| Model-Driven Engineering Method to Support the Formalization of Machine Learning using SysML S Raedler, J Mangler, S Rinderle-Ma arXiv preprint arXiv:2307.04495, 2023 | | 2023 |
Stefanie Rinderle-MaFull Professor, Technical University of Munich, Department of InformaticsVerified email at tum.de
