"Investigating the Best Performing Task Conditions of a Multi-Tasking ..."

Aggeliki Vlachostergiou et al. (2018)

> Home

Details and statistics

DOI: 10.1109/ICIP.2018.8451276

access: closed

type: Conference or Workshop Paper

metadata version: 2018-09-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icip/VlachostergiouT18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icip/VlachostergiouT18
Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias:
Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database. ICIP 2018: 2047-2051

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.