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17 Publications
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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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 | 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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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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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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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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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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2018 | Journal Article | LibreCat-ID: 2331
Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure,” International Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018.
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2018 | Journal Article | LibreCat-ID: 48884
P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation, vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.
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2017 | Journal Article | LibreCat-ID: 1098
Y.-S. Kim, S.-W. Lee, M. Dollmann, and M. Geierhos, “Semantic Annotation of Software Requirements with Language Frame,” International Journal of Software Engineering for Smart Device, vol. 4, no. 2, pp. 1–6, 2017.
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2012 | Conference Paper | LibreCat-ID: 46396
B. Bischl, O. Mersmann, H. Trautmann, and M. Preuß, “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 313–320, doi: 10.1145/2330163.2330209.
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