"A Big-Data Variational Bayesian Framework for Supporting the Prediction of ..."

Milos Ajcevic et al. (2020)

> Home

Details and statistics

DOI: 10.1007/978-3-030-58799-4_71

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iccsa/AjcevicMSFCSCUN20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccsa/AjcevicMSFCSCUN20
Milos Ajcevic, Aleksandar Miladinovic, Giulia Silveri, Giovanni Furlanis, Tommaso Cillotto, Alex Buoite Stella, Paola Caruso, Maja Ukmar, Marcello Naccarato, Alfredo Cuzzocrea, Paolo Manganotti, Agostino Accardo:
A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients. ICCSA (1) 2020: 992-1002

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.