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9287 Publications
2024 | Preprint | LibreCat-ID: 54448 | 
D. Köhler and S. Heindorf, “Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks,” arXiv:2405.12654. 2024.
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| arXiv
2024 | Conference Paper | LibreCat-ID: 54468
M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing,” presented at the IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54540
I. Gräßler, D. Wiechel, D. Özcan, and P. Taplick, “Tailored metrics for assessing the quality of MBSE models,” in Proceedings of the Design Society, 2024, vol. 4, pp. 2545–2554, doi: 10.1017/pds.2024.257.
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2024 | Journal Article | LibreCat-ID: 54548
R. P. Prager and H. Trautmann, “Exploratory Landscape Analysis for Mixed-Variable Problems,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2024, doi: 10.1109/TEVC.2024.3399560.
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2024 | Conference Paper | LibreCat-ID: 54559
D. Tissen, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “Exploring data-driven model-based systems engineering: a systematic literature review,” 2024, doi: 10.1109/ictmod59086.2023.10438129.
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| DOI
2024 | Journal Article | LibreCat-ID: 54092
J. Kontinen, Y. Mahmood, A. Meier, and H. Vollmer, “Parameterized Complexity of Weighted Team Definability,” Mathematical Structures in Computer Science, pp. 1–15, 2024, doi: 10.1017/S0960129524000033.
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| DOI
2024 | Journal Article | LibreCat-ID: 47275
F. Herbert et al., “Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups,” IEEE Symposium on Security and Privacy. IEEE, New York, NY, USA, 2024, doi: 10.48550/arXiv.2212.12964.
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| DOI
2024 | Conference Paper | LibreCat-ID: 54642
K. Dietrich, R. Prager, C. Doerr, and H. Trautmann, “Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization,” in Parallel Problem Solving from Nature — PPSN XVIII, 2024, pp. 1–14.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54643
M. Seiler, U. Skvorc, G. Cenikj, C. Doerr, and H. Trautmann, “Learned Features vs. Classical ELA on Affine BBOB Functions,” in Parallel Problem Solving from Nature — PPSN XVIII, 2024, pp. 1–14.
LibreCat
2024 | Book Chapter | LibreCat-ID: 52759
O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in Applications of Evolutionary Computation, Cham: Springer Nature Switzerland, 2024.
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| DOI
2024 | Conference Paper | LibreCat-ID: 52749
M. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” 2024, doi: 10.1109/ssci52147.2023.10372008.
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| DOI
2024 | Conference Paper | LibreCat-ID: 54742
C. Wiecher et al., “Model‐based analysis and specification of functional requirements and tests for complex automotive systems,” presented at the Tag des Systems Engineering 2023, Würzburg, 2024, doi: 10.1002/sys.21748.
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| DOI
2024 | Journal Article | LibreCat-ID: 54741
S. von Enzberg, J. Weller, P. Pöhler, A. Kühn, M. Römer, and R. Dumitrescu, “Künstliche Intelligenz in der Produktionsplanung und -steuerung,” Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 119, no. 5, pp. 349–355, 2024, doi: 10.1515/zwf-2024-1065.
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| DOI
2024 | Conference Paper | LibreCat-ID: 54743
C. Koldewey, M. Ebel, J. Winter, and R. Dumitrescu, “Data-driven Services and Servitization in Manufacturing: Innovation, Engineering, Transformation, and Management,” presented at the Hawaii International Conference on System Sciences , Hawaii, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 54751
T. Heuwinkel, S. Merkelbach, N. Janssen, S. von Enzberg, and R. Dumitrescu, “Leveraging self-supervised learning for vibration data in industrial separators,” presented at the ML4CPS – Machine Learning for Cyber-Physical Systems, 2024, doi: 10.24405/15306.
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| DOI
2024 | Conference Paper | LibreCat-ID: 54752
S. Merkelbach, A. Diedrich, S. Von Enzberg, O. Niggemann, and R. Dumitrescu, “Towards the generation of models for fault diagnosis of CPS using VQA models,” presented at the ML4CPS – Machine Learning for Cyber-Physical Systems, 2024, doi: 10.24405/15314.
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