"Attention Please: What Transformer Models Really Learn for Process Prediction."

Martin Käppel et al. (2024)

> Home

Details and statistics

DOI: 10.1007/978-3-031-70396-6_12

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bpm/KappelAJH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bpm/KappelAJH24
Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl:
Attention Please: What Transformer Models Really Learn for Process Prediction. BPM 2024: 203-220

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.