no code implementations • 15 Mar 2023 • Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horak
Thus, we propose an unsupervised anomaly detection system based on the similarity of the original and autoencoder-reconstructed samples.