When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints

15 June 2022

Papers citing "When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints"

8 / 8 papers shown

Title
The WHY in Business Processes: Discovery of Causal Execution Dependencies Fabiana Fournier Lior Limonad Inna Skarbovsky Yuval David 13 2 0 23 Oct 2023
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach Mahmoud Shoush Marlon Dumas 24 1 0 13 Jul 2023
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring Andreas Metzger Tristan Kley Aristide Rothweiler Klaus Pohl 12 2 0 12 Jul 2023
Timing Process Interventions with Causal Inference and Reinforcement Learning Hans Weytjens Wouter Verbeke Jochen De Weerdt OffRL 6 2 0 07 Jun 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective Nijat Mehdiyev Maxim Majlatow Peter Fettke 27 11 0 13 Apr 2023
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes Mahmoud Shoush Marlon Dumas 13 4 0 07 Dec 2022
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns Ivan Donadello Chiara Di Francescomarino F. Maggi Francesco Ricci Aladdin Shikhizada 11 11 0 09 Nov 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015