| 001 | 1021213 | ||
| 005 | 20260108055251.0 | ||
| 024 | 7 | _ | |a 10.18154/RWTH-CONV-254899 |2 datacite_doi |
| 037 | _ | _ | |a RWTH-CONV-254899 |
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| 100 | 1 | _ | |a Zorn, Max |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 36. Forum Bauinformatik |c Aachen |d 2025-09-24 – 2025-09-26 |g FBI 2025 |w Germany |
| 245 | _ | _ | |a Enhancing Trust in Machine Learning-Based Architectural Design Space Exploration Through Uncertainty Visualization, a Pilot Study |h online |
| 260 | _ | _ | |a Aachen |b RWTH Aachen |c 2025 |
| 295 | 1 | 0 | |a Tagungsband des 36. Forum Bauinformatik : 24.-26. September 2025 = Proceedings of the 36th Forum Bauinformatik 2025 / herausgegeben von Baris Özcan, Hristo Vassilev, Anne Göbels, Oliver Schulz, Qirui Huang |
| 300 | _ | _ | |a 301-308 |
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| 653 | _ | 7 | |a Data Visualization |
| 653 | _ | 7 | |a Design Space Exploration |
| 653 | _ | 7 | |a Explainable AI |
| 653 | _ | 7 | |a Machine Learning |
| 653 | _ | 7 | |a Trust |
| 700 | 1 | _ | |a Wortmann, Thomas |b 1 |e Corresponding author |
| 787 | 0 | _ | |0 RWTH-2025-05890 |i HasPart |
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