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 (IJCCI, 2023)

A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series. - Lucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova (Zenodo, 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)

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)

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 (Zenodo, 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)