"Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot ..."

Raphael Thiago et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-12-21

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2003-04915
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2003-04915
Raphael Thiago, Renan Souza, Leonardo Azevedo, Eduardo E. M. Soares, Rodrigo C. M. Santos, Wallas Henrique S. dos Santos, Maximilien de Bayser, Marcelo Cardoso, Márcio Ferreira Moreno, Renato Cerqueira:
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case. CoRR abs/2003.04915 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.