Andreas Margraf

15 papers A 1C 7Journal 3Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming.
SN Comput. Sci.
Henning Cui, Andreas Margraf, Jörg Hähner
2024 J jnl
Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming.
CoRR
Henning Cui, Andreas Margraf, Jörg Hähner
2023 C conf
Equidistant Reorder Operator for Cartesian Genetic Programming.
IJCCI
Henning Cui, Andreas Margraf, Jörg Hähner
2023 — conf
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming.
ACSOS
Andreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner
2023 C conf
Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection.
IJCCI
Andreas Margraf, Henning Cui, Stefan Baumann, Jörg Hähner
2023 C conf
Model-Driven Optimisation of Monitoring System Configurations for Batch Production.
MODELSWARD
Andreas Margraf, Henning Cui, Simon Heimbach, Jörg Hähner, Steffen Geinitz, Stephan Rudolph
2023 C conf
Towards Understanding Crossover for Cartesian Genetic Programming.
IJCCI
Henning Cui, Andreas Margraf, Michael Heider, Jörg Hähner
2023 A conf
Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming.
FOGA
Henning Cui, David Pätzel, Andreas Margraf, Jörg Hähner
2022 J jnl
Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning.
CoRR
Silvan Mertes, Andreas Margraf, Steffen Geinitz, Elisabeth André
2022 — conf
Refining Mutation Variants in Cartesian Genetic Programming.
BIOMA
Henning Cui, Andreas Margraf, Jörg Hähner
2022 C conf
Signal Detection for Tracer-Based-Sorting using Deep Learning and Synthetic Data.
IJCCI
Christian Linder, Frank Gaibler, Andreas Margraf, Steffen Geinitz
2021 — conf
Alternative Data Augmentation for Industrial Monitoring Using Adversarial Learning.
DeLTA (Selected Papers)
Silvan Mertes, Andreas Margraf, Steffen Geinitz, Elisabeth André
2020 — conf
Data Augmentation for Semantic Segmentation in the Context of Carbon Fiber Defect Detection using Adversarial Learning.
DeLTA
Silvan Mertes, Andreas Margraf, Christoph Kommer, Steffen Geinitz, Elisabeth André
2020 C conf
Towards Self-adaptive Defect Classification in Industrial Monitoring.
DATA
Andreas Margraf, Jörg Hähner, Philipp Braml, Steffen Geinitz
2017 C conf
An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection.
ICMLA
Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner