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Prof. Christian Schorr

Organizational unit Agents and Simulated Reality
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Publications

Synthetic Training Data Generation for Deep Learning-Based Billet Detection in Rolling Mills

Maria Luschkova; Christian Schorr; Tim Dahmen

In: Proceedings of the International Conference on NDE 4.0. International Conference on NDE 4.0 (NDE 4.0), October 24-27, Berlin, Germany, DGzfP, 2022.

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Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

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  • ML-Synthom

    Fertigungsnahes Maschinelles Lernen für die Automobilzuliefererindustrie durch synthetische Generierung von Oberflächen und Materialien

    Ensuring industrial quality through new research

    The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types of components in industrial production. The…

  • PHARMOPRO-KI

    Pharmacokinetic Modelling of Propofol Using Artificial Intelligence

    PHARMOPRO-KI is a collaborative project between DFKI and the Department of Anaesthesiology at Saarland University Hospital, commissioned by the Saarland State Research Fund. As part of the project,…