http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Few-Shot Learning für Optimierte Schockerfolgvorhersage
Barakat, C. (Corresponding author)FZJ* ; Busch, J.FZJ* ; Ashraf, M. ; Roth, A.
2024
2024Smart Data Innovation Days 2024, SDID2024, KarlsruheKarlsruhe, Germany, 5 Nov 2024 - 5 Nov 20242024-11-052024-11-05
[10.34734/FZJ-2024-06703]
This record in other databases:
Please use a persistent id in citations: doi:10.34734/FZJ-2024-06703
Contributing Institute(s):
- Jülich Supercomputing Center (JSC)
Research Program(s):
- 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
- SDI-S - SDI-S: Smart Data Innovation Services - Experimentelle Erprobung und Entwicklung von KI-Dienstverbünden für Innovationen auf industriellen Daten (01IS22095D) (01IS22095D)
Appears in the scientific report
2024
Database coverage: