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9 Publications


2023 | Conference Paper | LibreCat-ID: 47522
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 26539 | OA
Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering
R.-S. Götte, J. Timmermann, in: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2022, pp. 67–76.
LibreCat | DOI | Download (ext.)
 

2022 | Conference Paper | LibreCat-ID: 31066
Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 33957
AI-Based Assistance System for Manufacturing
S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, G. Tschirner-Vinke, (2022).
LibreCat | Files available | DOI
 

2021 | Conference Paper | LibreCat-ID: 22480
Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses
S. Lange, D. Schröder, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE, Valencia, Spain , 2021.
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2021 | Conference Paper | LibreCat-ID: 22481
Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction
T. Sander, S. Lange, U. Hilleringmann, V. Geneis, C. Hedayat, H. Kuhn, F.-B. Gockel, in: 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE, Valencia, Spain , 2021.
LibreCat | DOI | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 27381
Ranking Structured Objects with Graph Neural Networks
C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.
LibreCat | DOI | arXiv
 

2020 | Conference Paper | LibreCat-ID: 19953 | OA
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
C. Damke, V. Melnikov, E. Hüllermeier, in: S. Jialin Pan, M. Sugiyama (Eds.), Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020), PMLR, Bangkok, Thailand, 2020, pp. 49–64.
LibreCat | Files available | arXiv
 

2019 | Conference Paper | LibreCat-ID: 15488
P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press
C. Thiel, C. Steidl, B. Henning, in: AMA Service GmbH (Ed.), 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019, Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019.
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