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Towards a Text-based Recommender System for Data Mining Method Selection.

P. Zschech, K. Heinrich, R. Horn, and D. Höschele. AMCIS, Association for Information Systems, (2019)

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Patrick Kopper University of Stuttgart

GALÆXI ScalingM. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.

GALÆXI ScalingM. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Validation: Taylor-Green VortexM. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Verification: Convergence TestsM. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.

Patrick Hippold University of Stuttgart

Patrick Gralka University of Stuttgart

Patrick Maisenhölder University of Stuttgart

Patrick Lerge University of Stuttgart

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Everything counts: a Taxonomy of Deep Learning Approaches for Object Counting.K. Heinrich, A. Roth, and P. Zschech. ECIS, (2019)Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation.P. Zschech, J. Bernien, and K. Heinrich. ICIS, Association for Information Systems, (2019)Existieren Wissensmanagement-Schulen? Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren.P. Kruse, C. Kummer, and P. Zschech. GeNeMe, page 17-32. Technische Universität Dresden, (2014)Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems.K. Heinrich, P. Zschech, T. Skouti, J. Griebenow, and S. Riechert. AMCIS, Association for Information Systems, (2019)Are You up for the Challenge? Towards the Development of a Big Data Capability Assessment Model.P. Zschech, K. Heinrich, M. Pfitzner, and A. Hilbert. ECIS, (2017)Das aufstrebende Berufsbild des Data Scientist.C. Schumann, P. Zschech, and A. Hilbert. HMD - Praxis Wirtschaftsinform., 53 (4): 453-466 (2016)Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning.P. Zschech, K. Heinrich, R. Bink, and J. Neufeld. Bus. Inf. Syst. Eng., 61 (3): 327-343 (2019)A Light in the Dark: Deep Learning Practices for Industrial Computer Vision.M. Harl, M. Herchenbach, S. Kruschel, N. Hambauer, P. Zschech, and M. Kraus. CoRR, (2022)Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe.M. Könning, K. Heinrich, P. Zschech, and C. Leyh. AMCIS, Association for Information Systems, (2018)Tweeting in IIoT Ecosystems : Empirical Insights from Social Media Analytics about IIoT PlatformsD. Petrik, K. Pantow, P. Zschech, and G. Herzwurm. Fachtagung Software Management 2021 : Software Management in Zeiten digitalisierter und vernetzter Produkte : Fachtagung des GI-Fachausschusses Management der Anwendungsentwicklung und -wartung im Fachbereich Wirtschaftsinformatik (WI-MAW), Stuttgart, 2021 : 11.11.-12.11.2021, P-318, page 21-38. Bonn, Ges. für Informatik, (2021)