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Rafael Bischof ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Kraus, Michael A. / Bischof, Rafael / Riedel, Henrik / Schmeiser, Leon / Pauli, Alexander / Stelzer, Ingo / Drass, Michael: Strength Lab AI: a mixture-of-experts deep learning approach for limit state analysis and design of monolithic and laminate structures made of glass. In: Glass Structures & Engineering.

    https://doi.org/10.1007/s40940-024-00277-w

  2. Balmer, Vera / Kuhn, Sophia V. / Bischof, Rafael / Salamanca, Luis / Kaufmann, Walter / Perez-Cruz, Fernando / Kraus, Michael A. (2024): Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-Model-Based Conceptual Design of Pedestrian Bridges. In: Automation in Construction, v. 163 (July 2024).

    https://doi.org/10.1016/j.autcon.2024.105411

  3. Kraus, Michael A. / Kuhn, Sophia V. / Hodel, Anna / Bischof, Rafael / Maissen, Alessandro / Salamanca Mino, Luis / Pérez‐Cruz, Fernando (2024): Parametrische Modellierung und generatives tiefes Lernen für den Brückenentwurf. In: Bautechnik, v. 101, n. 3 (19 February 2024).

    https://doi.org/10.1002/bate.202300122

  4. Kraus, Michael A. / Müller, Andreas / Bischof, Rafael / Taras, Andreas (2023): Predictive modelling and latent space exploration of steel profile overstrength factors using multi‐head autoencoder‐regressors. In: ce/papers, v. 6, n. 3-4 (September 2023).

    https://doi.org/10.1002/cepa.2587

  5. Bischof, Rafael / Sprenger, Marius / Riedel, Henrik / Bumann, Matthias / Walczok, Waldemar / Drass, Michael / Kraus, Michael A. (2023): Temp-AI-Estimator: Interior temperature prediction using domain-informed Deep Learning. In: Energy and Buildings, v. 297 (October 2023).

    https://doi.org/10.1016/j.enbuild.2023.113425

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