TeVAE: a variational autoencoder aproach for discrete online anomaly detection in variable-state multivariate time-series data

Published in Studies in Computational Intelligence, 2025

Recommended citation: L Ferreira, JC Goos, P Klein, THW B{\"a}ck, AV Kononova, N Stein, C Wagner, JM Garibaldi, F Marcelloni, HK Lam, "TeVAE: a variational autoencoder aproach for discrete online anomaly detection in variable-state multivariate time-series data." Studies in Computational Intelligence, 2025.