| Anomaly detection in time series: a comprehensive evaluation S Schmidl, P Wenig, T Papenbrock Proceedings of the VLDB Endowment 15 (9), 1779-1797, 2022 | 240 | 2022 |
| TimeEval: a benchmarking toolkit for time series anomaly detection algorithms P Wenig, S Schmidl, T Papenbrock Proceedings of the VLDB Endowment 15 (12), 3678-3681, 2022 | 24 | 2022 |
| Efficient distributed discovery of bidirectional order dependencies S Schmidl, T Papenbrock The VLDB Journal 31 (1), 49-74, 2022 | 9 | 2022 |
| Optimized Theta-Join Processing J Weise, S Schmidl, T Papenbrock BTW 2021, 2021 | 4 | 2021 |
| HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection S Schmidl, P Wenig, T Papenbrock BTW 2023, 461-483, 2023 | 2 | 2023 |
| An Actor Database System for Akka S Schmidl, F Schneider, T Papenbrock BTW 2019–Workshopband, 2019 | 1 | 2019 |
| Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the Eating P Wenig, S Schmidl, T Papenbrock 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW …, 2024 | | 2024 |
| DPQL: The Data Profiling Query Language M Seeger, S Schmidl, A Vielhauer, T Papenbrock BTW 2023, 2023 | | 2023 |
| Distributed Order Dependency S Schmidl, J Waack | | |
Thorsten PapenbrockUniversity of Marburg在 informatik.uni-marburg.de 的电子邮件经过验证
