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| 001 | 1033865 | ||
| 005 | 20250203103301.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2024-06703 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-06703 |
| 100 | 1 | _ | |a Barakat, Chadi |0 P:(DE-Juel1)178934 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Smart Data Innovation Days 2024 |g SDID2024 |c Karlsruhe |d 2024-11-05 - 2024-11-05 |w Germany |
| 245 | _ | _ | |a Few-Shot Learning für Optimierte Schockerfolgvorhersage |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
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| 336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1736322242_5689 |2 PUB:(DE-HGF) |x Invited |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a SDI-S - SDI-S: Smart Data Innovation Services - Experimentelle Erprobung und Entwicklung von KI-Dienstverbünden für Innovationen auf industriellen Daten (01IS22095D) |0 G:(BMBF)01IS22095D |c 01IS22095D |x 1 |
| 700 | 1 | _ | |a Busch, Josefine |0 P:(DE-Juel1)185652 |b 1 |
| 700 | 1 | _ | |a Ashraf, Meisam |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Roth, Anton |0 P:(DE-HGF)0 |b 3 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1033865/files/SDID_Corpuls_poster.pdf |y OpenAccess |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2024 |
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