Sebastian Schmidl

According to our database, Sebastian Schmidl authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DendroTime: Progressive Hierarchical Clustering for Variable-Length Time Series.

Sebastian Schmidl, Ferdinand Rewicki, Felix Naumann, Thorsten Papenbrock

Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026

2024

AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data.

Sebastian Schmidl, Felix Naumann, Thorsten Papenbrock

Proc. VLDB Endow., July, 2024

Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the Eating.

Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023

DPQL: The Data Profiling Query Language.

Marcian Seeger, Sebastian Schmidl, Alexander Vielhauer, Thorsten Papenbrock

Proceedings of the Datenbanksysteme für Business, 2023

HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection.

Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock

Proceedings of the Datenbanksysteme für Business, 2023

2022

Efficient distributed discovery of bidirectional order dependencies.

Sebastian Schmidl, Thorsten Papenbrock

VLDB J., 2022

TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms.

Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock

Proc. VLDB Endow., 2022

Anomaly Detection in Time Series: A Comprehensive Evaluation.

Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock

Proc. VLDB Endow., 2022

2021

Optimized Theta-Join Processing.

Julian Weise, Sebastian Schmidl, Thorsten Papenbrock

Proceedings of the Datenbanksysteme für Business, 2021

2019

An Actor Database System for Akka.

Sebastian Schmidl, Frederic Schneider, Thorsten Papenbrock

Proceedings of the Datenbanksysteme für Business, 2019