Development of a Framework for Continual Learning in Industrial Robotics. - Minh Trinh; Jiyoung Moon; Lukas Gründel; Victoria Hankemeier; Simon Storms; Christian Brecher (ETFA, 2022)

Investigating the Adaptability of Alarm Root-Cause Analysis Methods for Discrete Process Types. - Bjarne Lahrsen; Birgit Vogel-Heuser; Jan Wilch; Victoria Hankemeier; Matthias Wander; Christoph Kögel (CASE, 2024)

Towards NLP-driven Online-classification of Industrial Alarm Messages. - Yeersen Shatewakasi; Birgit Vogel-Heuser; Jan Wilch; Victoria Hankemeier; Josua Höfgen (IECON, 2024)

Exploring challenges of alarm root-cause analysis across varying production process types. - Birgit Vogel-Heuser; Alexander Fay; Bernhard Rupprecht; Franz C. Kunze; Victoria Hankemeier; Tom Westermann; Gianluca Manca (Autom., 2024)

Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data. - Victoria Hankemeier; Malte Schilling (IJCNN, 2025)