| Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud P Wiesner, I Behnke, D Scheinert, K Gontarska, L Thamsen Proceedings of the 22nd International Middleware Conference, 260-272, 2021 | 50 | 2021 |
| Effectively testing system configurations of critical iot analytics pipelines MK Geldenhuys, L Thamsen, KK Gontarskay, F Lorenz, O Kao 2019 IEEE International Conference on Big Data (Big Data), 4157-4162, 2019 | 11 | 2019 |
| Evaluation of load prediction techniques for distributed stream processing K Gontarska, M Geldenhuys, D Scheinert, P Wiesner, A Polze, L Thamsen 2021 IEEE International Conference on Cloud Engineering (IC2E), 91-98, 2021 | 7 | 2021 |
| Predicting medical interventions from vital parameters: towards a decision support system for remote patient monitoring K Gontarska, W Wrazen, J Beilharz, R Schmid, L Thamsen, A Polze Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | 7 | 2021 |
| Magpie: Automatically tuning static parameters for distributed file systems using deep reinforcement learning H Zhu, D Scheinert, L Thamsen, K Gontarska, O Kao 2022 IEEE International Conference on Cloud Engineering (IC2E), 150-159, 2022 | 3 | 2022 |
| Rafiki: Task-level capacity planning in distributed stream processing systems BJJ Pfister, WS Lickefett, J Nitschke, S Paul, MK Geldenhuys, D Scheinert, ... European Conference on Parallel Processing, 352-363, 2021 | 2 | 2021 |
| Explainable AI for Medical Event Prediction for Heart Failure Patients W Wrazen, K Gontarska, F Grzelka, A Polze International Conference on Artificial Intelligence in Medicine, 97-107, 2023 | | 2023 |
