Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.”https://doi.org/10.1080/12460125.2023.2207268__Journal of Decision Systems, 2023, 1–41.https://doi.org/10.1080/12460125.2023.2207268 .
LibreCat: /record/45299
DOI: 10.1080/12460125.2023.2207268

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.
LibreCat: /record/34140

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.”https://doi.org/10.1109/ssi56489.2022.9901433__In 2022 Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022.https://doi.org/10.1109/ssi56489.2022.9901433 .
LibreCat: /record/33510
DOI: 10.1109/ssi56489.2022.9901433

Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.”https://doi.org/10.1016/j.ifacol.2022.07.282__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 .
LibreCat: /record/31066
DOI: https://doi.org/10.1016/j.ifacol.2022.07.282

Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.”https://doi.org/10.3390/app12189094__Applied Sciences 12, no. 18 (2022): 9094.https://doi.org/10.3390/app12189094 .
LibreCat: /record/48878
DOI: 10.3390/app12189094

Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.”https://doi.org/10.1007/s12525-022-00530-6__Electronic Markets 32 (2022): 375–96.https://doi.org/10.1007/s12525-022-00530-6 .
LibreCat: /record/35732
DOI: 10.1007/s12525-022-00530-6

Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.”https://doi.org/10.1145/3488042.3490509__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 .
LibreCat: /record/27491
DOI: 10.1145/3488042.3490509

Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.”https://doi.org/10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1.https://doi.org/10.1109/tpami.2021.3051276 .
LibreCat: /record/21004
DOI: 10.1109/tpami.2021.3051276

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.”https://doi.org/10.1109/icit46573.2021.9453646__In 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE, 2021.https://doi.org/10.1109/icit46573.2021.9453646 .
LibreCat: /record/22481
DOI: 10.1109/icit46573.2021.9453646

Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.
LibreCat: /record/35889

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 Egl Jasut and Sergei Pozdniakov, 12:65–73, 2019.
LibreCat: /record/15332

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.”https://doi.org/10.1007/s00180-017-0742-2__Computational Statistics 34, no. 3 (2019): 977–991.https://doi.org/10.1007/s00180-017-0742-2 .
LibreCat: /record/48877
DOI: 10.1007/s00180-017-0742-2

Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” In ICML 2018 AutoML Workshop, 2018.
LibreCat: /record/3852

Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.”https://doi.org/10.14257/ijast.2018.112.12__International Journal of Advanced Science and Technology 112 (2018): 123–36.https://doi.org/10.14257/ijast.2018.112.12 .
LibreCat: /record/2331
DOI: 10.14257/ijast.2018.112.12

Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.”https://doi.org/10.1162/evco_a_00215__Evolutionary Computation 26, no. 4 (2018): 597–620.https://doi.org/10.1162/evco_a_00215 .
LibreCat: /record/48884
DOI: 10.1162/evco_a_00215

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.
LibreCat: /record/1098

Bischl, Bernd, Olaf Mersmann, Heike Trautmann, and Mike Preuß. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.”https://doi.org/10.1145/2330163.2330209__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 .
LibreCat: /record/46396
DOI: 10.1145/2330163.2330209