| Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021 | 751 | 2021 |
| Systematic comparison of the influence of different data preprocessing methods on the performance of gait classifications using machine learning J Burdack, F Horst, S Giesselbach, I Hassan, S Daffner, WI Schöllhorn Frontiers in bioengineering and biotechnology 8, 260, 2020 | 43 | 2020 |
| Foundation models for natural language processing: Pre-trained language models integrating media G Paaß, S Giesselbach Springer Nature, 2023 | 35 | 2023 |
| Improving word embeddings using kernel PCA V Gupta, S Giesselbach, S Rüping, C Bauckhage Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019 | 14 | 2019 |
| Informed machine learning-a taxonomy and survey of integrating knowledge into learning systems (2020) L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... arXiv preprint arXiv:1903.12394, 1903 | 11 | 1903 |
| Informed Machine Learning--A Taxonomy and Survey of Integrating Knowledge into Learning Systems', arXiv: Machine Learning L Rüden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... | 8 | 2019 |
| A public dataset of overground walking kinetics in healthy adult individuals on different sessions within one day J Burdack, F Horst, S Giesselbach, I Hassan, S Daffner, WI Schöllhorn Mendeley Data 1 (2), 2020 | 7 | 2020 |
| Supporting verification of news articles with automated search for semantically similar articles V Gupta, K Beckh, S Giesselbach, D Wegener, T Wirtz arXiv preprint arXiv:2103.15581, 2021 | 6 | 2021 |
| Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring B Kirsch, S Giesselbach, D Knodt, S Rüping Community-Oriented Policing and Technological Innovations, 29, 2018 | 6 | 2018 |
| On feature extraction for fingerprinting grapevine leaves DL Michels, SA Giesselbach, T Werner, V Steinhage Proceedings of the International Conference on Image Processing, Computer …, 2013 | 6 | 2013 |
| Improving pre-trained language models G Paaß, S Giesselbach Foundation Models for Natural Language Processing: Pre-trained Language …, 2023 | 5 | 2023 |
| Making Efficient Use of a Domain Expert's Time in Relation Extraction L Adilova, S Giesselbach, S Rüping arXiv preprint arXiv:1807.04687, 2018 | 5 | 2018 |
| Identifying underlying individuality across running, walking, and handwriting patterns with conditional cycle–consistent generative adversarial networks J Burdack, S Giesselbach, ML Simak, ML Ndiaye, C Marquardt, ... Frontiers in Bioengineering and Biotechnology 11, 1204115, 2023 | 4 | 2023 |
| Pre-trained Language Models G Paaß, S Giesselbach Foundation Models for Natural Language Processing: Pre-trained Language …, 2023 | 3 | 2023 |
| Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency E Brito, V Gupta, E Hahn, S Giesselbach German Conference on Artificial Intelligence (Künstliche Intelligenz), 45-52, 2022 | 2 | 2022 |
| Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. B Kirsch, S Giesselbach, T Schmude, M Völkening, F Rostalski, S Rüping LWDA, 76-87, 2020 | 2 | 2020 |
| Community-Oriented Policing and Technological Innovations G Leventakis, MR Haberfeld Springer Nature, 2018 | 2 | 2018 |
| & Schuecker, J.(2021). Informed Machine Learning-A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems L von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese IEEE Transactions on Knowledge & Data Engineering 1, 1-1, 0 | 2 | |
| Knowledge Acquired by Foundation Models G Paaß, S Giesselbach Foundation Models for Natural Language Processing: Pre-trained Language …, 2023 | 1 | 2023 |
| Foundation Models for Speech, Images, Videos, and Control G Paaß, S Giesselbach Foundation Models for Natural Language Processing: Pre-trained Language …, 2023 | 1 | 2023 |
Birgit KirschFraunhofer IAISVerified email at iais.fraunhofer.de
