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CalcGraph: taming the high costs of deep learning using models

Crossref DOI link: https://doi.org/10.1007/s10270-022-01052-7

Published Online: 2022-10-25

Published Print: 2023-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lorentz, Joe https://orcid.org/0000-0003-0786-4488
Hartmann, Thomas https://orcid.org/0000-0002-0465-6280
Moawad, Assaad https://orcid.org/0000-0002-1561-8992
Fouquet, Francois https://orcid.org/0000-0001-9028-768X
Aouada, Djamila https://orcid.org/0000-0002-7576-2064
Le Traon, Yves https://orcid.org/0000-0002-1045-4861
Funding

Funding for this research was provided by:

Fonds National de la Recherche Luxembourg (14297122)
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Text and Data Mining valid from 2022-10-25

Version of Record valid from 2022-10-25
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Article History

Received: 22 July 2020

Revised: 2 May 2022

Accepted: 26 September 2022

First Online: 25 October 2022