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Found 2 papers, 1 papers with code
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
In this work, we adapt state-of-the-art techniques for counterfactual generation in the domain of XAI that are based on genetic algorithms to consider a series of temporal constraints at runtime.
Recommending the optimal policy by learning to act from temporal data
Prescriptive Process Monitoring is a prominent problem in Process Mining, which consists in identifying a set of actions to be recommended with the goal of optimising a target measure of interest or Key Performance Indicator (KPI).
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