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Simon Rädler
Simon Rädler
Bestätigte E-Mail-Adresse bei tum.de
Titel
Zitiert von
Zitiert von
Jahr
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
172020
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
122016
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
112022
Participative Method to identify Data-Driven Design Use Cases
S Rädler, E Rigger
IFIP International Conference on Product Lifecycle Management, 680-694, 2020
42020
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
32023
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
32022
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
22020
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
12022
Requirements for Manufacturing Data Collection to Enable Data-Driven Design
S Rädler, J Mangler, E Rigger
Procedia CIRP 112, 232-237, 2022
12022
Model-Driven Engineering for Machine Learning Code Generation using SysML
S Rädler, M Rupp, E Rigger, S Rinderle-Ma
Modellierung 2024, 197-212, 2024
2024
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
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