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Raoul Schönhof

Raoul G. C. Schönhof

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2023
[i5]
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  - journals/corr/abs-2303-12739
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  - https://dblp.org/rec/journals/corr/abs-2303-12739
Jannes Elstner, Raoul G. C. Schönhof, Steffen Tauber, Marco F. Huber:
Optimizing CAD Models with Latent Space Manipulation. CoRR abs/2303.12739 (2023)
2022
[i4]
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  - journals/corr/abs-2201-12107
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Raoul Schönhof, Artem Werner, Jannes Elstner, Boldizsar Zopcsak, Ramez Awad, Marco F. Huber:
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods. CoRR abs/2201.12107 (2022)
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  - journals/corr/abs-2202-00573
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Alexander Neb, Iyed Briki, Raoul Schönhof:
Development of a neural network to recognize standards and features from 3D CAD models. CoRR abs/2202.00573 (2022)
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  - journals/corr/abs-2202-04051
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Raoul Schönhof, Manuel Fechter:
Towards automated Capability Assessment leveraging Deep Learning. CoRR abs/2202.04051 (2022)
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  - journals/corr/abs-2202-10099
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Raoul Schönhof, Jannes Elstner, Radu Manea, Steffen Tauber, Ramez Awad, Marco F. Huber:
Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder. CoRR abs/2202.10099 (2022)

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