| TinyOL: TinyML with Online-Learning on Microcontrollers H Ren, D Anicic, T Runkler 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 183 | 2021 |
| The synergy of complex event processing and tiny machine learning in industrial IoT H Ren, D Anicic, T Runkler Proceedings of the 15th ACM International Conference on Distributed and …, 2021 | 35 | 2021 |
| TinyReptile: TinyML with federated meta-learning H Ren, D Anicic, TA Runkler 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 16 | 2023 |
| Towards semantic management of on-device applications in industrial IoT H Ren, D Anicic, TA Runkler ACM Transactions on Internet Technology 22 (4), 1-30, 2022 | 16 | 2022 |
| Scenario detection in unlabeled real driving data with a rule-based state machine supported by a recurrent neural network F Montanari, H Ren, A Djanatliev 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021 | 10 | 2021 |
| How to Manage Tiny Machine Learning at Scale: An Industrial Perspective H Ren, D Anicic, T Runkler Accepted by The 2022 tinyML Research Symposium, 2022 | 8 | 2022 |
| Seloc-ml: Semantic low-code engineering for machine learning applications in industrial iot H Ren, K Dorofeev, D Anicic, Y Hammad, R Eckl, TA Runkler International Semantic Web Conference, 845-862, 2022 | 5 | 2022 |
| On-device Online Learning and Semantic Management of TinyML Systems H Ren, D Anicic, X Li, T Runkler ACM Transactions on Embedded Computing Systems 23 (4), 1-32, 2024 | 3 | 2024 |
| TinyMetaFed: Efficient Federated Meta-Learning for TinyML H Ren, X Li, D Anicic, TA Runkler arXiv preprint arXiv:2307.06822, 2023 | 3 | 2023 |
| Method For Amending Or Adding Machine Learning Capabilities To An Automation Device D Anicic, H Ren, T Runkler US Patent App. 17/866,944, 2022 | | 2022 |
Thomas RunklerProfessor of Computer Science, Siemens AG, Technische Universität MünchenVerified email at siemens.com
