"A Machine Learning Approach Using Interpretable Models for Predicting ..."

Dante de Araújo Costa et al. (2024)

> Home

Details and statistics

DOI: 10.5220/0012390000003636

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icaart/CostaFBFCL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icaart/CostaFBFCL24
Dante de Araújo Costa, Joseana Macêdo Fechine, José Rubens da Silva Brito, João Victor Ribeiro Ferro, Evandro de Barros Costa, Roberta Vilhena Vieira Lopes:
A Machine Learning Approach Using Interpretable Models for Predicting Success of NCAA Basketball Players to Reach NBA. ICAART (3) 2024: 758-765

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.