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From version < 12.1 >
edited by Maximilian Kasperowski
on 2023/01/24 13:41
To version < 8.1 >
edited by Maximilian Kasperowski
on 2022/10/06 11:44
>
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1 -Topics for Student Theses
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10 10  
11 11  Graphs are complex feature vectors and the solution space is very large without necessarily one correct and optimal answer. Therefore, a machine learning (ML)-based approach may help find good solutions.
12 12  
13 +This topic will be supervised in cooperation with the [[Intelligent Systems>>url:https://www.ins.informatik.uni-kiel.de/en||shape="rect"]] group.
14 +
13 13  == Example Top-down Layout of an SCChart ==
14 14  
15 15  [[image:attach:Controller_topdown_v3.png]]
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26 26  
27 27  = Related Work/Literature =
28 28  
29 -[Under Review] M. Kasperowski and R. von Hanxleden, //Top-down Layout: Effectively Utilizing Zoom for Drawings of Compound Graphs//
31 +[Under Review] M. Kasperowski and R. von Hanxleden, //Top-down Layout: Utilizing Zoom as the Third Dimension//
30 30  
31 31  M. Nielsen, //Neural Networks and Deep Learning//, Determination Press, 2015 ([[http:~~/~~/neuralnetworksanddeeplearning.com/index.html>>url:http://neuralnetworksanddeeplearning.com/index.html||shape="rect"]])
32 32  
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40 40  
41 41  = Supervised by =
42 42  
43 -Maximilian Kasperowski in cooperation with the [[Intelligent Systems>>url:https://www.ins.informatik.uni-kiel.de/en||shape="rect"]] group.
45 +Maximilian Kasperowski
44 44  
45 45  mka@informatik.uni-kiel.de
Controller_topdown_v3.png
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1 -136183862
1 +136183954
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1 -https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/136183862/A Machine Learning Approach for Node Size Approximation in Top-down Layout
1 +https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/136183954/A Machine Learning Approach for Node Size Approximation in Top-down Layout