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  Data augmentation for disruption prediction via robust surrogate models

Rath, K., Rügamer, D., Bischl, B., Toussaint, U. v., Rea, C., Maris, A., et al. (2022). Data augmentation for disruption prediction via robust surrogate models. Journal of Plasma Physics, 88(5): 895880502. doi:10.1017/S0022377822000769.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-357F-B Version Permalink: https://hdl.handle.net/21.11116/0000-000C-78BD-9
Genre: Journal Article

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rath_data.pdf (Supplementary material), 2MB
 
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https://doi.org/10.1017/S0022377822000769 (Publisher version)
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 Creators:
Rath, K.1, 2, Author                 
Rügamer, D.2, Author
Bischl, B.2, Author
Toussaint, U. von1, Author                 
Rea, C.2, Author
Maris, A.2, Author
Granetz, R.2, Author
Albert, C. G.2, Author
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20222022
 Publication Status: Issued
 Pages: 23 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1017/S0022377822000769
 Degree: -

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Project name : Euratom Research and Training Programme 2014-2018 and 2019-2020 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Journal of Plasma Physics
Source Genre: Journal
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Publ. Info: London : Cambridge University Press
Pages: - Volume / Issue: 88 (5) Sequence Number: 895880502 Start / End Page: - Identifier: ISSN: 0022-3778
CoNE: https://pure.mpg.de/cone/journals/resource/954925334694