An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection. - Andreas Margraf; Anthony Stein; Leonhard Engstler; Steffen Geinitz; Jörg Hähner (ICMLA, 2017)

Towards Self-adaptive Defect Classification in Industrial Monitoring. - Andreas Margraf; Jörg Hähner; Philipp Braml; Steffen Geinitz (DATA, 2020)

Data Augmentation for Semantic Segmentation in the Context of Carbon Fiber Defect Detection using Adversarial Learning. - Silvan Mertes; Andreas Margraf; Christoph Kommer; Steffen Geinitz; Elisabeth André (DeLTA, 2020)

Alternative Data Augmentation for Industrial Monitoring Using Adversarial Learning. - Silvan Mertes; Andreas Margraf; Steffen Geinitz; Elisabeth André (DeLTA (Selected Papers), 2021)

Signal Detection for Tracer-Based-Sorting using Deep Learning and Synthetic Data. - Christian Linder; Frank Gaibler; Andreas Margraf; Steffen Geinitz (IJCCI, 2022)

Model-Driven Optimisation of Monitoring System Configurations for Batch Production. - Andreas Margraf; Henning Cui; Simon Heimbach; Jörg Hähner; Steffen Geinitz; Stephan Rudolph (MODELSWARD, 2023)