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Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access
Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more
2citations -
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Yusuke Yamazaki, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, +1 more
39citations -
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Rasoul Najafi Koopas, +3 more
27citations -
Encrypted federated learning for secure decentralized collaboration in cancer image analysis2023 Medical Image Analysis article Computer Science Privacy-Preserving Technologies in Data Open access
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more
90citations -
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets2022 Computers & Geosciences article Computer Science Advanced Neural Network Applications Open access
Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more
30citations