DLProv: A Data-Centric Support for Deep Learning Workflow Analyses

Author:

Pina Débora1ORCID,Chapman Adriane2ORCID,Kunstmann Liliane1ORCID,de Oliveira Daniel3ORCID,Mattoso Marta1ORCID

Affiliation:

1. Federal University of Rio de Janeiro, Brazil

2. University of Southampton, United Kingdom

3. Fluminense Federal University, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)

EPSRC

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Publisher

ACM

Reference31 articles.

1. Khalid Belhajjame, Reza B'Far, James Cheney, Sam Coppens, Stephen Cresswell, Yolanda Gil, Paul Groth, Graham Klyne, Timothy Lebo, Jim McCusker, et al. 2013. Prov-dm: The prov data model. W3C Recommendation 14 (2013), 15--16.

2. Data Management in Machine Learning Systems

3. Yang Cao, Christopher Jones, V Cuevas-Vicenttín, Matthew B Jones, Bertram Ludäscher, Timothy McPhillips, Paolo Missier, Christopher Schwalm, Peter Slaughter, Dave Vieglais, et al. 2016. ProvONE: extending PROV to support the DataONE scientific community. PROV: Three Years Later (2016).

4. Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance

5. Capturing and querying fine-grained provenance of preprocessing pipelines in data science

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