Khedkar, Mugdha, and Eric Bodden. “Toward an Android Static Analysis Approach for Data Protection.” In Proceedings of the 9th International Conference on Mobile Software Engineering and Systems, 2024.
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arXiv: 2402.07889

Harder, Hans, and Sebastian Peitz. “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines,” n.d.
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Priefer, Jennifer. “Geographic Information Systems in Information Systems Research - Review and Research Prospects.” In Proceedings of the 56th Hawaii International Conference on System Sciences, edited by T.X. Bui and R.H. Sprague, 2023.
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Götte, Ricarda-Samantha, and Julia Timmermann. “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF.”https://doi.org/10.1016/j.ifacol.2023.02.015__In 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), 56:85–90, 2023.https://doi.org/10.1016/j.ifacol.2023.02.015 .
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Grigoryan, Khoren, Timm Fichtler, Nick Schreiner, Martin Rabe, Melina Panzner, Arno Kühn, Roman Dumitrescu, and Christian Koldewey. “Data-Driven Product Management: A Practitioner-Driven Research Agenda.” In Procedia CIRP 33, 2023.
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Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization.” In Wirtschaftsinformatik Conference, 2023.
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Khedkar, Mugdha. “Static Analysis for Android GDPR Compliance Assurance.”https://doi.org/10.1109/ICSE-Companion58688.2023.00054__In Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23), n.d.https://doi.org/10.1109/ICSE-Companion58688.2023.00054 .
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arXiv: 2303.09606

Fichtler, Timm, Khoren Grigoryan, Christian Koldewey, and Roman Dumitrescu. “Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research.”https://doi.org/10.1109/ictmod59086.2023.10438135__In 2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE, 2023.https://doi.org/10.1109/ictmod59086.2023.10438135 .
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Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.”https://doi.org/10.5162/smsi2023/d7.4__In Lectures, 253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023.https://doi.org/10.5162/smsi2023/d7.4 .
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Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .”https://doi.org/10.1109/ICSA-C54293.2022.00011__In Proceedings of the 18th International Conference on Software Architecture Companion . IEEE, 2022.https://doi.org/10.1109/ICSA-C54293.2022.00011 .
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Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven System Identification for Non-Autonomous Systems in Control Engineering.”https://doi.org/10.1109/AIRC56195.2022.9836982__In 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 67–76, 2022.https://doi.org/10.1109/AIRC56195.2022.9836982 .
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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 .
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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 .
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Beverungen, Daniel, Thomas Hess, Antonia Köster, and Christiane Lehrer. “From Private Digital Platforms to Public Data Spaces: Implications for the Digital Transformation.”https://doi.org/10.1007/s12525-022-00553-z__Electronic Markets 32 (2022): 493–501.https://doi.org/10.1007/s12525-022-00553-z .
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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 .
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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 .
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Lange, Sven, Dominik Schröder, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann. “Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses.”https://doi.org/10.1109/icit46573.2021.9453609__In 22nd IEEE International Conference on Industrial Technology (ICIT).https://doi.org/10.1109/icit46573.2021.9453609__Valencia, Spain : IEEE, 2021.https://doi.org/10.1109/icit46573.2021.9453609 .
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Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.”https://doi.org/10.1007/978-3-030-88942-5__In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021.https://doi.org/10.1007/978-3-030-88942-5 .
LibreCat: /record/27381
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arXiv: 2104.08869

Khatibi, Arash, and Stefan Krauter. “Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD).”https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11__In Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021), 1141–47, 2021.https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11 .
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DOI: 10.4229/EUPVSEC20212021-5BV.4.11

Stieglitz, Stefan, Nicholas R. J. Möllmann (Frick), Milad Mirbabaie, Lennart Hofeditz, and Björn Ross. “Recommendations for Managing AI-Driven Change Processes: When Expectations Meet Reality.” International Journal of Management Practice, 2021.
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