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2020 – today
- 2024
[i2]Henning Cui, Andreas Margraf, Jörg Hähner:
Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming. CoRR abs/2410.00518 (2024)- 2023
- [c12]Andreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner:
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. ACSOS 2023: 133-138 - [c11]Henning Cui
, David Pätzel, Andreas Margraf, Jörg Hähner:
Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. FOGA 2023: 50-60 - [c10]Henning Cui, Andreas Margraf, Jörg Hähner:
Equidistant Reorder Operator for Cartesian Genetic Programming. IJCCI 2023: 64-74 - [c9]Andreas Margraf, Henning Cui, Stefan Baumann, Jörg Hähner:
Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection. IJCCI 2023: 300-307 - [c8]Henning Cui, Andreas Margraf, Michael Heider, Jörg Hähner:
Towards Understanding Crossover for Cartesian Genetic Programming. IJCCI 2023: 308-314 - [c7]Andreas Margraf, Henning Cui, Simon Heimbach, Jörg Hähner, Steffen Geinitz, Stephan Rudolph:
Model-Driven Optimisation of Monitoring System Configurations for Batch Production. MODELSWARD 2023: 176-183 - 2022
- [c6]Henning Cui, Andreas Margraf, Jörg Hähner:
Refining Mutation Variants in Cartesian Genetic Programming. BIOMA 2022: 185-200 - [c5]Christian Linder, Frank Gaibler, Andreas Margraf, Steffen Geinitz:
Signal Detection for Tracer-Based-Sorting using Deep Learning and Synthetic Data. IJCCI 2022: 323-330 - [i1]Silvan Mertes, Andreas Margraf, Steffen Geinitz, Elisabeth André:
Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning. CoRR abs/2205.04222 (2022) - 2021
- [c4]Silvan Mertes, Andreas Margraf, Steffen Geinitz, Elisabeth André:
Alternative Data Augmentation for Industrial Monitoring Using Adversarial Learning. DeLTA (Selected Papers) 2021: 1-23 - 2020
- [c3]Andreas Margraf, Jörg Hähner, Philipp Braml, Steffen Geinitz:
Towards Self-adaptive Defect Classification in Industrial Monitoring. DATA 2020: 318-327 - [c2]Silvan Mertes, Andreas Margraf, Christoph Kommer, Steffen Geinitz, Elisabeth André:
Data Augmentation for Semantic Segmentation in the Context of Carbon Fiber Defect Detection using Adversarial Learning. DeLTA 2020: 59-67
2010 – 2019
- 2017
- [c1]Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner:
An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection. ICMLA 2017: 147-154
Coauthor Index
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