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Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite2024 International Joint Conference on Computational Intelligence conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
1citations -
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences2023 ACM/IEEE Joint Conference on Digital Libraries conference-paper Computer Science Privacy-Preserving Technologies in Data
Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Sascha Welten, +2 more
1citations -
Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization2026 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna V. Kononova, +2 more
0citations -
bioacoustic-ai/bacpipe: BacPipe v1.3.4 Release Notes2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Music and Audio Processing Open access
Vincent S. Kather, Sylvain Haupert, Clea Parcerisas, Santiago Martínez Balvanera, Inês Nolasco, Ben, +2 more
0citations -
bioacoustic-ai/bacpipe: BacPipe v1.3.4 Release Notes2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Music and Audio Processing Open access
Vincent S. Kather, Sylvain Haupert, Clea Parcerisas, Santiago Martínez Balvanera, Ines Nolasco, Ben, +2 more
0citations -
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access
Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, +1 more
0citations -
Model and Data Differences in an Enterprise Low-Code Platform2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) conference-paper Computer Science Model-Driven Software Engineering Techniques
Arvid Butting, Timo Greifenberg, Katrin Hölldobler, Timo Kehrer
0citations