Papers

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2019
Thursday, February 28th
8:00 AM

Applied image recognition: guidelines for using deep learning models in practice

Matthias Griebel, University of Würzburg, Department of Business and Economics, Würzburg, Germany
Alexander Dürr, University of Würzburg, Department of Business and Economics, Würzburg, Germany
Nikolai Stein, University of Würzburg, Department of Business and Economics, Würzburg, Germany

8:00 AM

Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung

Giacomo Welsch, Universität Würzburg, Wirtschaftswissenschaftliche Fakultät, Würzburg, Deutschland
Matthias Hauser, Universität Würzburg, Wirtschaftswissenschaftliche Fakultät, Würzburg, Deutschland
Frédéric Thiesse, Universität Würzburg, Wirtschaftswissenschaftliche Fakultät, Würzburg, Deutschland

8:00 AM

Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern

Lena Wolbeck, Department Wirtschaftsinformatik, Freie Universität Berlin, Berlin, Deutschland
Bastian Amberg, Department Wirtschaftsinformatik, Freie Universität Berlin, Berlin, Deutschland
Natalie Kliewer, Department Wirtschaftsinformatik, Freie Universität Berlin, Berlin, Deutschland

8:00 AM

Knowledge Discovery from CVs: A Topic Modeling Procedure

Alexander Schiller, University of Regensburg, Department of Management Information Systems, Regensburg, Germany

8:00 AM

Leveraging Unstructured Image Data for Product Quality Improvement

Oliver Nahlbach, AWS-Institut für digitale Produkte und Prozesse gGmbH, Saarbrücken, Deutschland
Maximilian Derouet, AWS-Institut für digitale Produkte und Prozesse gGmbH, Saarbrücken, Deutschland
Anil Kumar Erappanakoppal Swamy, AWS-Institut für digitale Produkte und Prozesse gGmbH, Saarbrücken, Deutschland
Dirk Werth, AWS-Institut für digitale Produkte und Prozesse gGmbH, Saarbrücken, Deutschland

8:00 AM

Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization

Matthias Walter, Technische Universität Dresden, Chair of Information Systems, esp. IS in Manufacturing and Commerce, Dresden, Germany
Volodymyr Vasyutynskyy, SAP SE, Innovation Center Network, Dresden, Germany
Duc Anh Trinh, Technische Universität Dresden, Chair of Information Systems, esp. IS in Manufacturing and Commerce, Dresden, Germany
Christian Leyh, Technische Universität Dresden, Chair of Information Systems, esp. IS in Manufacturing and Commerce, Dresden, Germany

8:00 AM

Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness

Martin Bichler, Department of Informatics, Technical University of Munich, Germany
Sören Merting, Department of Informatics, Technical University of Munich, Germany
Aykut Uzunoglu, Faculty of Business and Economics, University of Augsburg, Germany

8:00 AM

Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation

Philipp Knöpfle, Technical University of Munich, Department of Informatics, Munich, Germany
Johannes Knörr, Technical University of Munich, Department of Informatics, Munich, Germany
Sören Merting, Technical University of Munich, Department of Informatics, Munich, Germany

8:00 AM

Online Product Descriptions – Boost for your Sales?

Tristan Wimmer, University of Passau, School of Business, Economics and Information Systems, Passau, Germany
Michael Scholz, University of Passau, School of Business, Economics and Information Systems, Passau, Germany

8:00 AM

Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes

Alexander Keller, University of Passau, Chair of Information Systems (Information and IT-Service- Management), Passau, Germany
Hans Achatz, University of Passau, Teaching Unit Information Systems, Passau, Germany

8:00 AM

Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics

Lasse Lommel, Leuphana University Lüneburg, Institute of Information Systems, Lüneburg, Germany
Meike Riebling, Leuphana University Lüneburg, Institute of Information Systems, Lüneburg, Germany
Burkhardt Funk, Leuphana University Lüneburg, Institute of Information Systems, Lüneburg, Germany
Christian Junginger, Otto GmbH & Co KG, Data Science, Hamburg, Germany

8:00 AM

Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting

Kai Heinrich, Technische Universität Dresden
Andreas Roth, Technische Universität Dresden
Lukas Breithaupt, Technische Universität Dresden
Björn Möller, Technische Universität Dresden
Johannes Maresch, Technische Universität Dresden

8:00 AM