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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, Taylor & Francis, 2023, pp. 1–41, doi:10.1080/12460125.2023.2207268.
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2022 | Conference Paper | LibreCat-ID: 34140
Maalouly, Jad, et al. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” 2022 Kleinheubach Conference, IEEE, 2022.
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2022 | Conference Paper | LibreCat-ID: 33510
Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” 2022 Smart Systems Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901433.
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2022 | Conference Paper | LibreCat-ID: 31066
Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282.
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2022 | Journal Article | LibreCat-ID: 48878
Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:10.3390/app12189094.
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2022 | Journal Article | LibreCat-ID: 35732
Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” Electronic Markets, vol. 32, Springer Science and Business Media LLC, 2022, pp. 375–96, doi: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.” 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.
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2021 | Conference Paper | LibreCat-ID: 22481
Sander, Tom, et al. “Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction.” 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE, 2021, doi: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, et al. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, Giuseppe, et al. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics, vol. 34, no. 3, 2019, pp. 977–991, doi:10.1007/s00180-017-0742-2.
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, Marcel Dominik, et al. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” ICML 2018 AutoML Workshop, 2018.
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2018 | Journal Article | LibreCat-ID: 2331
Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” International Journal of Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36, doi:10.14257/ijast.2018.112.12.
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation, vol. 26, no. 4, 2018, pp. 597–620, doi:10.1162/evco_a_00215.
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2017 | Journal Article | LibreCat-ID: 1098
Kim, Yeong-Su, et al. “Semantic Annotation of Software Requirements with Language Frame.” International Journal of Software Engineering for Smart Device, vol. 4, no. 2, Global Vision School Publication, 2017, pp. 1–6.
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2012 | Conference Paper | LibreCat-ID: 46396
Bischl, Bernd, et al. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.” Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, 2012, pp. 313–320, doi:10.1145/2330163.2330209.
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