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9 Publications
2023 | Conference Paper | LibreCat-ID: 47522
R. P. Prager et al., “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features,” in Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023, pp. 129–139, doi: 10.1145/3594805.3607136.
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| DOI
2022 | Conference Paper | LibreCat-ID: 26539 | 
R.-S. Götte and J. Timmermann, “Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering,” in 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), Cairo, Egypt, 2022, pp. 67–76, doi: 10.1109/AIRC56195.2022.9836982.
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2022 | Conference Paper | LibreCat-ID: 31066
O. Schön, R.-S. Götte, and J. 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), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 33957
S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G. Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: 10.1109/ETFA52439.2022.9921520.
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2021 | Conference Paper | LibreCat-ID: 22480
S. Lange, D. Schröder, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses,” in 22nd IEEE International Conference on Industrial Technology (ICIT), Valencia, Spain , 2021.
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2021 | Conference Paper | LibreCat-ID: 22481
T. Sander et al., “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 , 2021.
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2021 | Conference Paper | LibreCat-ID: 27381
C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.
LibreCat
| DOI
| arXiv
2020 | Conference Paper | LibreCat-ID: 19953 |
C. Damke, V. Melnikov, and E. Hüllermeier, “A Novel Higher-order Weisfeiler-Lehman Graph Convolution,” in Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, 2020, vol. 129, pp. 49–64.
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| arXiv