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A Holistic Framework for AI Systems in Industrial Applications
Can Kaymakci, Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Institute for Energy Efficiency in Production EEP, University of Stuttgart
Simon Wenninger, FIM Research Center, University, Project Group Business & Information Systems Engineering of the Fraunhofer FIT of Applied Sciences Augsburg
Alexander Sauer, Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Institute for Energy Efficiency in Production EEP, University of Stuttgart
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Hybrid Recommender Systems for Next Purchase Prediction Based on Optimal Combination Weights
Nicolas Haubner, Karlsruher Institut für Technologie
Thomas Setzer, Katholische Universität Eichstätt-Ingolstadt
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Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety
Felix Krieger, Leuphana Universität Lüneburg
Paul Drews, Leuphana Universität Lüneburg
Burkhardt Funk, Leuphana Universität Lüneburg
Till Wobbe, EY, GSA Assurance Research & Development
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Knowledge Sharing in Digital Platform Ecosystems – A Textual Analysis of SAP’s Developer Community
Martin Kauschinger, Technische Universität München
Maximilian Schreieck, Technische Universität München
Markus Böhm, Technische Universität München
Helmut Krcmar, Technische Universität München
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Leveraging Natural Language Processing to Analyze Scientific Content: Proposal of an NLP pipeline for the field of Computer Vision
Henrik Kortum, German Research Center for Artificial Intelligence
Max Leimkühler, German Research Center for Artificial Intelligence
Oliver Thomas, Universität Osnabrück, German Research Center for Artificial Intelligence
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Managing Bias in Machine Learning Projects
Tobias Fahse, Universität St.Gallen
Viktora Huber, Universität St.Gallen
Benjamin van Giffen, Universität St.Gallen
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Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism
Elnaz Meydani, Universität Paderborn
Christoph Düsing, Universität Paderborn
Matthias Trier, Universität Paderborn, Copenhagen Business School
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