‪Sebastian Schmidl‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	232	232
h-index	3	3
i10-index	2	2

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Co-authors

Thorsten PapenbrockUniversity of MarburgVerified email at informatik.uni-marburg.de
Marcian SeegerPhilipps-Universität MarburgVerified email at uni-marburg.de
Alexander VielhauerUniversity of MarburgVerified email at uni-marburg.de
Phillip WenigVerified email at pwenig.de
Felix NaumannHasso Plattner Institute, University of PotsdamVerified email at hpi.de

Sebastian Schmidl

Sebastian Schmidl

Hasso Plattner Institute, University of Potsdam

Verified email at hpi.de

Data Profiling Distributed Computing Time Series Analytics Anomaly Detection


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Anomaly detection in time series: a comprehensive evaluation S Schmidl, P Wenig, T Papenbrock Proceedings of the VLDB Endowment 15 (9), 1779-1797, 2022	199	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	18	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	3	2021
HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection S Schmidl, P Wenig, T Papenbrock BTW 2023, 2023	2	2023
An Actor Database System for Akka S Schmidl, F Schneider, T Papenbrock BTW 2019–Workshopband, 2019	1	2019
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

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