"An End-to-End Trainable Feature Selection-Forecasting Architecture ..."

Mert Nakip et al. (2021)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2021.3092228

access: open

type: Journal Article

metadata version: 2021-12-15

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/NakipKGR21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/NakipKGR21
Mert Nakip, Kubilay Karakayali, Cüneyt Güzelis, Volkan Rodoplu:
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access 9: 104011-104028 (2021)

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.