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22 Publications
2025 | Journal Article | LibreCat-ID: 58885 | 
Zeller, J., & Riese, J. (2025). 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. https://doi.org/10.1002/tea.70001
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2024 | Conference Paper | LibreCat-ID: 54960
Zeller, J., & Riese, J. (2024). Fähigkeitsprofile im Physikdidaktischen Wissen mithilfe von Machine Learning. In H. van Vorst (Ed.), Frühe naturwissenschaftliche Bildung, Tagungsband der GDCP Jahrestagung 2023 (pp. 122–125). Gesellschaft für Didaktik der Chemie und Physik.
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2024 | Preprint | LibreCat-ID: 55159 |
Offen, C. (n.d.). Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.
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| arXiv
2024 | Journal Article | LibreCat-ID: 55999 |
Baier, D., Krüger, A., Wagner, T., Tiemann, M., & Weinberger, C. (2024). Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of H2 and H2O. Chemosensors, 12(9), 178. https://doi.org/10.3390/chemosensors12090178
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2024 | Conference Paper | LibreCat-ID: 56948
Zeller, J., & Riese, J. (n.d.). Assessment des physikdidaktischen Wissens mithilfe von Machine Learning. Entdecken, lehren und forschen im Schülerlabor. GDCP Jahrestagung 2024. Entdecken, lehren und forschen im Schülerlabor. GDCP Jahrestagung 2024, Bochum.
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2023 | Journal Article | LibreCat-ID: 45299
Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems, 1–41. https://doi.org/10.1080/12460125.2023.2207268
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2022 | Conference Paper | LibreCat-ID: 34140
Maalouly, J., Hemker, D., Hedayat, C., Rückert, C., Kaufmann, I., Olbrich, M., Lange, S., & Mathis, H. (2022). AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. 2022 Kleinheubach Conference. 2022 Kleinheubach Conference, Miltenberg, Germany.
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2022 | Conference Paper | LibreCat-ID: 33510
Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., & Kuhn, H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. 2022 Smart Systems Integration (SSI). 2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901433
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2022 | Journal Article | LibreCat-ID: 48878
Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., & Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences, 12(18), 9094. https://doi.org/10.3390/app12189094
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2022 | Journal Article | LibreCat-ID: 35732
Bartelheimer, C., zur Heiden, P., Lüttenberg, H., & Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. Electronic Markets, 32, 375–396. https://doi.org/10.1007/s12525-022-00530-6
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2022 | Conference Paper | LibreCat-ID: 31066
Schön, O., Götte, R.-S., & Timmermann, J. (2022). Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55(12), 19–24. https://doi.org/10.1016/j.ifacol.2022.07.282
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2021 | Journal Article | LibreCat-ID: 21004
Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276
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2021 | Conference Paper | LibreCat-ID: 22481
Sander, T., Lange, S., Hilleringmann, U., Geneis, V., Hedayat, C., Kuhn, H., & Gockel, F.-B. (2021). 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 : IEEE. https://doi.org/10.1109/icit46573.2021.9453646
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2021 | Working Paper | LibreCat-ID: 35889 |
Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.
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2021 | Conference Paper | LibreCat-ID: 27491
Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for K12 Computing Education. 21st Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3488042.3490509
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2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In ICML 2018 AutoML Workshop. Stockholm, Sweden.
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2018 | Journal Article | LibreCat-ID: 2331
Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology, 112, 123–136. https://doi.org/10.14257/ijast.2018.112.12
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., & Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation, 26(4), 597–620. https://doi.org/10.1162/evco_a_00215
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