Distributed detection of sequential anomalies in univariate time series. - Johannes Schneider 003; Phillip Wenig; Thorsten Papenbrock (VLDB J., 2021)

DataGossip: A Data Exchange Extension for Distributed Machine Learning Algorithms. - Phillip Wenig; Thorsten Papenbrock (EDBT, 2022)

Anomaly Detection in Time Series: A Comprehensive Evaluation. - Sebastian Schmidl; Phillip Wenig; Thorsten Papenbrock (Proc. VLDB Endow., 2022)

TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms. - Phillip Wenig; Sebastian Schmidl; Thorsten Papenbrock (Proc. VLDB Endow., 2022)

HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection. - Sebastian Schmidl; Phillip Wenig; Thorsten Papenbrock (BTW, 2023)

A Few Models to Rule Them All: Aggregating Machine Learning Models. - Florian Siepe; Phillip Wenig; Thorsten Papenbrock (LWDA, 2023)

Actix-Telepathy. - Phillip Wenig; Thorsten Papenbrock (REBLS@SPLASH, 2023)

Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series. - Phillip Wenig; Thorsten Papenbrock (DaWaK, 2024)

Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the Eating. - Phillip Wenig; Sebastian Schmidl; Thorsten Papenbrock (ICDEW, 2024)

Finding, clustering, and classifying anomalies on large and multivariate time series. - Phillip Wenig (2024)