The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows - Archive ouverte HAL
Poster Communications Year : 2018

The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows

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Computer Science [cs] Artificial Intelligence [cs.AI]

Akin Osman Kazakci  : Connect in order to contact the contributor

https://hal.science/hal-02072341

Submitted on : Tuesday, March 19, 2019-9:56:08 AM

Last modification on : Friday, October 18, 2024-3:15:44 AM

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hal-02072341 , version 1 (19-03-2019)

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  • HAL Id : hal-02072341 , version 1

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Balázs Kégl, Alexandre Boucaud, Mehdi Cherti, Akin Osman Kazakci, Alexandre Gramfort, et al.. The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows. International Conference On Machine Learning, Jul 2018, Stockholm, Sweden. ⟨hal-02072341⟩

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