| Autoencoder-based condition monitoring and anomaly detection method for rotating machines S Ahmad, K Styp-Rekowski, S Nedelkoski, O Kao 2020 ieee international conference on big data (big data), 4093-4102, 2020 | 87 | 2020 |
| Observing Earth’s magnetic environment with the GRACE-FO mission C Stolle, I Michaelis, C Xiong, M Rother, T Usbeck, Y Yamazaki, ... Earth, Planets and Space 73, 1-21, 2021 | 28 | 2021 |
| Machine learning-based calibration of the GOCE satellite platform magnetometers K Styp-Rekowski, I Michaelis, C Stolle, J Baerenzung, M Korte, O Kao Earth, Planets and Space 74 (1), 138, 2022 | 15 | 2022 |
| Geomagnetic data from the GOCE satellite mission I Michaelis, K Styp-Rekowski, J Rauberg, C Stolle, M Korte Earth, Planets and Space 74 (1), 135, 2022 | 11 | 2022 |
| Federated learning for autoencoder-based condition monitoring in the industrial internet of things S Becker, K Styp-Rekowski, OVL Stoll, O Kao 2022 IEEE International Conference on Big Data (Big Data), 5424-5433, 2022 | 8 | 2022 |
| Graph-based feature selection filter utilizing maximal cliques DT Schroeder, K Styp-Rekowski, F Schmidt, A Acker, O Kao 2019 Sixth International Conference on Social Networks Analysis, Management …, 2019 | 8 | 2019 |
| Macaw: The machine learning magnetometer calibration workflow J Bader, K Styp-Rekowski, L Doehler, S Becker, O Kao 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1095-1101, 2022 | 5 | 2022 |
| Calibration of the grace-fo satellite platform magnetometers and co-estimation of intrinsic time shift in data K Styp-Rekowski, C Stolle, I Michaelis, O Kao 2021 IEEE International Conference on Big Data (Big Data), 5283-5290, 2021 | 3 | 2021 |
| Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series K Styp-Rekowski, F Schmidt, O Kao 2020 IEEE International Conference on Big Data (Big Data), 2217-2222, 2020 | 2 | 2020 |
| GRACE-FO ML-calibrated magnetic field data K Styp-Rekowski, I Michaelis, M Korte, C Stolle GFZ Data Services, 2023 | 1 | 2023 |
| GOCE ML-calibrated magnetic field data K Styp-Rekowski, I Michaelis, C Stolle, J Baerenzung, M Korte, O Kao GFZ Data Services, 2022 | 1 | 2022 |
| A Framework for Analyzing News Images and Building Multimedia-Based Recommender A Lommatzsch, B Kille, K Styp-Rekowski, M Karl, J Pommering Innovations for Community Services: 19th International Conference, I4CS 2019 …, 2019 | 1 | 2019 |
| Physics-informed neural networks for the improvement of platform magnetometer measurements K Styp-Rekowski, I Michaelis, M Korte, C Stolle Physics of the Earth and Planetary Interiors 358, 107283, 2025 | | 2025 |
| Calibration and Characterisation of GRACE-FO Magnetometers I Michaelis, KM Styp-Rekowski, J Rauberg, M Rother, G Kervalishvili, ... GSTM2024, 2024 | | 2024 |
| Machine Learning Calibration of Satellite Platform Magnetometer Data K Styp-Rekowski Universität Rostock Rostock, 2024 | | 2024 |
| Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems D Scheinert, F Casares, MK Geldenhuys, K Styp-Rekowski, O Kao 2023 IEEE International Conference on Cloud Engineering (IC2E), 202-211, 2023 | | 2023 |
| Improving Platform Magnetometer Measurements Using Physics-informed Neural Networks K Styp-Rekowski, I Michaelis, M Korte, C Stolle, O Kao EGU General Assembly Conference Abstracts, EGU-8273, 2023 | | 2023 |
| More on Swarm E/ePOP MGF data set features and usage experience M Rother, K Styp-Rekowski, D Miles, R Broadfoot, A Howarth, W Holley 12th Swarm Data Quality Workshop, 2022 | | 2022 |
| Physics-informed Neural Network for Platform Magnetometer Calibration K Styp-Rekowski, I Michaelis, C Stolle, O Kao Swarm Data Quality Workshop 2022, 2022 | | 2022 |
| Status of the GFZ Swarm data products M Korte, G Kervalishvili, I Michaelis, J Rauberg, K Styp-Rekowski, ... 12th Swarm Data Quality Workshop, 2022 | | 2022 |
Odej KaoProfessor of Computer Science, TU BerlinEmail được xác minh tại tu-berlin.de