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Novel Proposals for FAIR, Automated, Recommendable, and Rob..:

, In: 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS),

Abhinit, Ishan ; Adams, Emily K. ; Alam, Khairul... - p. 84-92 , 2022

Link: https://doi.org/10.1109/WORKS56498.2022.00016

RT 
T1 <cTitle>2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)</cTitle>: T1 <Title>Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10023942&Exemplar=1&LAN=DE
				
A1 Abhinit, Ishan
A1 Adams, Emily K.
A1 Alam, Khairul
A1 Chase, Brian
A1 Deelman, Ewa
A1 Gorenstein, Lev
A1 Hudson, Stephen
A1 Islam, Tanzima
A1 Larson, Jeffrey
A1 Lentner, Geoffrey
A1 Mandal, Anirban
A1 Navarro, John-Luke
A1 Nicolae, Bogdan
A1 Pouchard, Line
A1 Ross, Rob
A1 Roy, Banani
A1 Rynge, Mats
A1 Serebrenik, Alexander
A1 Vahi, Karan
A1 Wild, Stefan
A1 Xin, Yufeng
A1 da Silva, Rafael Ferreira
A1 Filgueira, Rosa
YR 2022
K1 Training
K1 High performance computing
K1 Data integrity
K1 Conferences
K1 Computational modeling
K1 Lightning
K1 Machine learning
K1 scientific workflows
K1 FAIR
K1 high performance computing
K1 data integrity
K1 ensembles
K1 machine learning
SP 84
OP 92
LK http://dx.doi.org/https://doi.org/10.1109/WORKS56498.2022.00016
DO https://doi.org/10.1109/WORKS56498.2022.00016
SF ELIB - SuUB Bremen

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