Requirements towards optimizing analytics in industrial processes. - Alexander Zeiser; Bas van Stein; Thomas Bäck (ANT/EDI40, 2021)

Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes. - Alexander Zeiser; Bas van Stein; Thomas Bäck (CoRR, 2022)

A data-centric approach to anomaly detection in layer-based additive manufacturing. - Alexander Zeiser; Bekir Özcan; Christoph Kracke; Bas van Stein; Thomas Bäck (Autom., 2023)

Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection. - Alexander Zeiser; Bekir Özcan; Bas van Stein; Thomas Bäck (Comput. Ind., 2023)