Sebastian Schmidl

Orcid: 0000-0002-6597-9809

According to our database1, Sebastian Schmidl authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data.
Proc. VLDB Endow., July, 2024

Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the Eating.
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023
DPQL: The Data Profiling Query Language.
Proceedings of the Datenbanksysteme für Business, 2023

HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection.
Proceedings of the Datenbanksysteme für Business, 2023

2022
Efficient distributed discovery of bidirectional order dependencies.
VLDB J., 2022

TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms.
Proc. VLDB Endow., 2022

Anomaly Detection in Time Series: A Comprehensive Evaluation.
Proc. VLDB Endow., 2022

2021
Optimized Theta-Join Processing.
Proceedings of the Datenbanksysteme für Business, 2021

2019
An Actor Database System for Akka.
Proceedings of the Datenbanksysteme für Business, 2019


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