| Water-rich planets: How habitable is a water layer deeper than on Earth? L Noack, D Höning, A Rivoldini, C Heistracher, N Zimov, B Journaux, ... Icarus 277, 215-236, 2016 | 120 | 2016 |
| Predicting time-to-failure of plasma etching equipment using machine learning A Jalali, C Heistracher, A Schindler, B Haslhofer, T Nemeth, R Glawar, ... 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 26 | 2019 |
| On the Role of Spatial Data Science for Federated Learning A Graser, C Heistracher, V Pruckovskaja | 4 | 2022 |
| Minimal-Configuration Anomaly Detection for IIoT Sensors C Heistracher, A Jalali, A Suendermann, S Meixner, D Schall, B Haslhofer, ... Data Science–Analytics and Applications, 86-89, 2022 | 4 | 2022 |
| A multi-level model for realizing data-driven maintenance in manufacturing enterprises: Use case of jewelry production K Kovacs, C Heistracher, J Giner, W Sihn, J Schneeweiss Procedia CIRP 104, 1553-1558, 2021 | 4 | 2021 |
| Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces. C Heistracher, F Mignet, S Schlarb ICAI, 128-137, 2020 | 4 | 2020 |
| Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data C Heistracher, A Jalali, I Strobl, A Suendermann, S Meixner, S Holly, ... IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society …, 2021 | 3 | 2021 |
| Towards eXplainable AI for Mobility Data Science A Jalali, A Graser, C Heistracher arXiv preprint arXiv:2307.08461, 2023 | 2 | 2023 |
| Federated learning for predictive maintenance and quality inspection in industrial applications V Pruckovskaja, A Weissenfeld, C Heistracher, A Graser, J Kafka, ... 2023 Prognostics and Health Management Conference (PHM), 312-317, 2023 | 2 | 2023 |
| MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data C Doulkeridis, GM Santipantakis, N Koutroumanis, G Makridis, V Koukos, ... 2023 IEEE International Conference on Big Data (BigData), 1487-1494, 2023 | 1 | 2023 |
| Machine learning methods for health-index prediction in coating chambers C Heistracher, A Jalali, J Schneeweiss, K Kovacs, C Laflamme, ... arXiv preprint arXiv:2205.15145, 2022 | 1 | 2022 |
| Information extraction from darknet market advertisements and forums C Heistracher, S Schlarb, F Ghaffar Proceedings of the 14th International Conference on Emerging Security …, 2020 | 1 | 2020 |
| Information extraction from Darknet market advertisements and forums S Schlarb, C Heistracher, F Ghaffar SECURWARE 2020: The Fourteenth International Conference on Emerging Security …, 2020 | 1 | 2020 |
| Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling C Heistracher, P Casas, S Stricker, A Weißenfeld, D Schall, J Kemnitz IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society …, 2023 | | 2023 |
| An Edge Deployment Framework to Scale AI in Industrial Applications J Kemnitz, A Weissenfeld, L Schoeffl, A Stiftinger, D Rechberger, B Prangl, ... 2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC), 24-32, 2023 | | 2023 |
| Konsumentenschutz im Online-Handel durch Automatisierung in der Detektion von Fake-Shops A Lindley, C Heistracher, L Beltzung, T Behrens Wissenschaf (f) t Sicherheit, 145-155, 2021 | | 2021 |
| Habitability constraints on water-rich exoplanets L Noack, D Höning, A Rivoldini, C Heistracher, N Zimov, B Journaux, ... EGU General Assembly Conference Abstracts, EPSC2016-3068, 2016 | | 2016 |
| Water worlds: characterization, thermal evolution and habitability limitations L Noack, C Heistracher, N Zimov, D Hoening, A Rivoldini, T Van Hoolst, ... EGU General Assembly Conference Abstracts, 996, 2015 | | 2015 |
