default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDProcess Science, Volume 3
Volume 3, Number 1, December 2026
- Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt:
Correction: A benchmarking study on process model forecasting: univariate vs. multivariate approaches. 6 - Sjoerd van Straten, Ruozhu Yao, Marwan Hassani:
Task-free diversity-aware continual learning for online next activity prediction. 7 - Milda Aleknonyte-Resch
, Anna-Katharina Dhungel, Fabian Elsaeßer, Arvid Lepsien:
Let the record show: a structured approach to process analytics in judicial contexts. 8 - Lukas Kirchdorfer, Konrad Özdemir, Han van der Aa, Heiner Stuckenschmidt:
Arrival times in dynamic environments: modeling, evaluation, and benchmarking for business process simulation. 9 - Qian Chen, Stefanie Rinderle-Ma:
DA-CIL: Drift-Adaptive Class Incremental Learning for dynamic processes. 10
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.
last updated on 2026-06-19 00:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
