1 citations · 1 across the 9 of their papers we have counts for
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Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling
Humam Kourani, Anton Antonov, Alessandro Berti +1
The utility of Large Language Models (LLMs) in analytical tasks is rooted in their vast pre-trained knowledge, which allows them to interpret ambiguous inputs and infer missing inf…
Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach
Fabrizio De Santis, Gyunam Park, Wil M. P. van der Aalst +1
Existing approaches for predictive process monitoring are sub-symbolic, meaning that they learn correlations between descriptive features and a target feature fully based on data,…
PMAx: An Agentic Framework for AI-Driven Process Mining
Anton Antonov, Humam Kourani, Alessandro Berti +2
Process mining provides powerful insights into organizational workflows, but extracting these insights typically requires expertise in specialized query languages and data science…
No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence
Wil M. P. van der Aalst
The uptake of Artificial Intelligence (AI) impacts the way we work, interact, do business, and conduct research. However, organizations struggle to apply AI successfully in industr…
Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs
Humam Kourani, Gyunam Park, Wil M. P. van der Aalst
Process discovery aims to automatically derive process models from event logs, enabling organizations to analyze and improve their operational processes. Inductive mining algorithm…