"Exploring machine learning methods for the Star/Galaxy Separation Problem."

Eduardo Machado et al. (2016)

> Home

Details and statistics

DOI: 10.1109/IJCNN.2016.7727189

access: closed

type: Conference or Workshop Paper

metadata version: 2019-10-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/MachadoSOOMCCGB16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/MachadoSOOMCCGB16
Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra:
Exploring machine learning methods for the Star/Galaxy Separation Problem. IJCNN 2016: 123-130

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.