![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Andreas Margraf
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-08 21:53 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint