105 citations · 158 across the 16 of their papers we have counts for
6 papers · 1 filter
Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
Anton Antonov, Humam Kourani, Alessandro Berti +1
Process modeling is a sub-domain of Business Process Management (BPM) focused on the translation of process artifacts into formal models. This task traditionally requires extensive…
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…
Integrating Domain Knowledge into Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees +1
Process discovery aims to derive process models from event logs, providing insights into operational behavior and forming a foundation for conformance checking and process improvem…
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…
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…
Bridging Domain Knowledge and Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees +1
Discovering good process models is essential for different process analysis tasks such as conformance checking and process improvements. Automated process discovery methods often o…