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17 Publications
2023 | Journal Article | LibreCat-ID: 45299
Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” Journal of Decision Systems, 2023, 1–41. https://doi.org/10.1080/12460125.2023.2207268.
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2022 | Conference Paper | LibreCat-ID: 34140
Maalouly, Jad, Dennis Hemker, Christian Hedayat, Christian Rückert, Ivan Kaufmann, Marcel Olbrich, Sven Lange, and Harald Mathis. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” In 2022 Kleinheubach Conference. Miltenberg, Germany: IEEE, 2022.
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2022 | Conference Paper | LibreCat-ID: 33510
Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneiß, Christian Hedayat, and Harald Kuhn. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” In 2022 Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901433.
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2022 | Conference Paper | LibreCat-ID: 31066
Schön, Oliver, Ricarda-Samantha Götte, and Julia 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), 55:19–24, 2022. https://doi.org/10.1016/j.ifacol.2022.07.282.
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2022 | Journal Article | LibreCat-ID: 48878
Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 18 (2022): 9094. https://doi.org/10.3390/app12189094.
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2022 | Journal Article | LibreCat-ID: 35732
Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” Electronic Markets 32 (2022): 375–96. https://doi.org/10.1007/s12525-022-00530-6.
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2021 | Conference Paper | LibreCat-ID: 27491
Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” In 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3488042.3490509.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.
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2021 | Conference Paper | LibreCat-ID: 22481
Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneis, Christian Hedayat, Harald Kuhn, and Franz-Barthold Gockel. “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, 2021. https://doi.org/10.1109/icit46573.2021.9453646.
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2021 | Working Paper | LibreCat-ID: 35889 | 
Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.
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2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten 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, edited by Eglė Jasutė and Sergei Pozdniakov, 12:65–73, 2019.
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, and Bernd Bischl. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics 34, no. 3 (2019): 977–991. https://doi.org/10.1007/s00180-017-0742-2.
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” In ICML 2018 AutoML Workshop, 2018.
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2018 | Journal Article | LibreCat-ID: 2331
Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” International Journal of Advanced Science and Technology 112 (2018): 123–36. https://doi.org/10.14257/ijast.2018.112.12.
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.
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2017 | Journal Article | LibreCat-ID: 1098
Kim, Yeong-Su, Seung-Woo Lee, Markus Dollmann, and Michaela Geierhos. “Semantic Annotation of Software Requirements with Language Frame.” International Journal of Software Engineering for Smart Device 4, no. 2 (2017): 1–6.
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2012 | Conference Paper | LibreCat-ID: 46396
Bischl, Bernd, Olaf Mersmann, Heike Trautmann, and Mike Preuß. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 313–320. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330209.
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