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)

Refining Mutation Variants in Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Jörg Hähner (BIOMA, 2022)

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

Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. - Andreas Margraf; Henning Cui; Anthony Stein; Jörg Hähner (ACSOS, 2023)

Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. - Henning Cui; David Pätzel; Andreas Margraf; Jörg Hähner (FOGA, 2023)

Equidistant Reorder Operator for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Jörg Hähner (IJCCI, 2023)

Towards Understanding Crossover for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Michael Heider; Jörg Hähner (IJCCI, 2023)

Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection. - Andreas Margraf; Henning Cui; Stefan Baumann; Jörg Hähner (IJCCI, 2023)

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

Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Jörg Hähner (CoRR, 2024)