23 citations · 40 across the 2 of their papers we have counts for
3 papers
cs.AI2020
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
Sven Weinzierl, Sandra Zilker, Jens Brunk +3
Predictive business process monitoring (PBPM) is a class of techniques designed to predict behaviour, such as next activities, in running traces. PBPM techniques aim to improve pro…
cs.AI2020★ 23 cited
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
Jens Brunk, Matthias Stierle, Leon Papke +3
Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned wi…
cs.LG2020★ 17 cited
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs
S. Weinzierl, S. Zilker, J. Brunk +5
Researchers have proposed a variety of predictive business process monitoring (PBPM) techniques aiming to predict future process behaviour during the process execution. Especially,…