Jan-Christoph Goos

According to our database, Jan-Christoph Goos authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Corrigendum to "Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions" [Eng. Appl. Artif. Intell. 138 (2024) 109323].

Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova

Eng. Appl. Artif. Intell., 2025

2024

Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions.

Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova

Eng. Appl. Artif. Intell., 2024

A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series.

Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova

CoRR, 2024

TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data.

Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova

CoRR, 2024

2023

MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing.

Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023