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24 Publications
2025 | Conference Paper | LibreCat-ID: 59483
G. Reschke and A. Brosius, “Transient dynamic analysis: Performance evaluation of tactile measurement,” in Materials Research Proceedings, Paderborn, 2025, vol. 52, pp. 293–300, doi: 10.21741/9781644903551-36.
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2025 | Journal Article | LibreCat-ID: 58885 | 
J. Zeller and J. Riese, “Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?,” Journal of Research in Science Teaching, 2025, doi: 10.1002/tea.70001.
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2024 | Conference Paper | LibreCat-ID: 54960
J. Zeller and J. Riese, “Fähigkeitsprofile im Physikdidaktischen Wissen mithilfe von Machine Learning,” in Frühe naturwissenschaftliche Bildung, Tagungsband der GDCP Jahrestagung 2023, Hamburg, 2024, pp. 122–125.
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2024 | Preprint | LibreCat-ID: 55159 |
C. Offen, “Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.” .
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| arXiv
2024 | Journal Article | LibreCat-ID: 55999 |
D. Baier, A. Krüger, T. Wagner, M. Tiemann, and C. Weinberger, “Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of H2 and H2O,” Chemosensors, vol. 12, no. 9, p. 178, 2024, doi: 10.3390/chemosensors12090178.
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2024 | Conference Paper | LibreCat-ID: 56948
J. Zeller and J. Riese, “Assessment des physikdidaktischen Wissens mithilfe von Machine Learning,” presented at the Entdecken, lehren und forschen im Schülerlabor. GDCP Jahrestagung 2024, Bochum.
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2023 | Journal Article | LibreCat-ID: 45299
J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” Journal of Decision Systems, pp. 1–41, 2023, doi: 10.1080/12460125.2023.2207268.
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2023 | Conference Paper | LibreCat-ID: 60304
C. Zirngibl et al., “Methodical approach for the design and dimensioning of mechanical clinched assemblies,” in Materials Research Proceedings, Erlangen-Nürnberg, 2023, vol. 25, doi: 10.21741/9781644902417-23.
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2022 | Conference Paper | LibreCat-ID: 34140
J. Maalouly et al., “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development,” presented at the 2022 Kleinheubach Conference, Miltenberg, Germany, 2022.
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2022 | Conference Paper | LibreCat-ID: 33510
T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, and H. Kuhn, “Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods,” presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi: 10.1109/ssi56489.2022.9901433.
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2022 | Journal Article | LibreCat-ID: 48878
L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 18, p. 9094, 2022, doi: 10.3390/app12189094.
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2022 | Journal Article | LibreCat-ID: 35732
C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” Electronic Markets, vol. 32, pp. 375–396, 2022, doi: 10.1007/s12525-022-00530-6.
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2022 | Conference Paper | LibreCat-ID: 31066
O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.
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2021 | Journal Article | LibreCat-ID: 21004
M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.
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2021 | Conference Paper | LibreCat-ID: 22481
T. Sander et al., “Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction,” in 22nd IEEE International Conference on Industrial Technology (ICIT), Valencia, Spain , 2021.
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2021 | Working Paper | LibreCat-ID: 35889 |
S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.
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2021 | Conference Paper | LibreCat-ID: 27491
L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: 10.1145/3488042.3490509.
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2019 | Conference Paper | LibreCat-ID: 15332
M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings, Lanarca, 2019, vol. 12, pp. 65–73.
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2019 | Journal Article | LibreCat-ID: 48877
G. Casalicchio et al., “OpenML: An R Package to Connect to the Machine Learning Platform OpenML,” Computational Statistics, vol. 34, no. 3, pp. 977–991, 2019, doi: 10.1007/s00180-017-0742-2.
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2018 | Conference Paper | LibreCat-ID: 3852 |
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in ICML 2018 AutoML Workshop, Stockholm, Sweden, 2018.
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