"Process data properties matter: Introducing gated convolutional neural ..."

Kai Heinrich et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.DSS.2021.113494

access: open

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/dss/HeinrichZJB21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/dss/HeinrichZJB21
Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin:
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decis. Support Syst. 143: 113494 (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.