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Humam Kourani
Humam Kourani
Research Associate, Fraunhofer Institute for Applied Information Technology
Verified email at fit.fraunhofer.de
Title
Cited by
Cited by
Year
Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees
H Kourani, D Schuster, W Van Der Aalst
2023 5th International Conference on Process Mining (ICPM), 89-96, 2023
32023
POWL: Partially Ordered Workflow Language
H Kourani, SJ van Zelst
International Conference on Business Process Management, 92-108, 2023
32023
Discovering hybrid process models with bounds on time and complexity: When to be formal and when not?
WMP van der Aalst, R De Masellis, C Di Francescomarino, C Ghidini, ...
Information Systems 116, 102214, 2023
32023
PM4KNIME: process mining meets the KNIME analytics platform
H Kourani, SJ van Zelst, BD Lehmann, G Einsdorf, S Helfrich, F Liße
Proceedings of CEUR Workshop on ICPM Demo Track, 65-69, 2022
32022
Mining for Long-Term Dependencies in Causal Graphs
H Kourani, C Di Francescomarino, C Ghidini, W van der Aalst, S van Zelst
International Conference on Business Process Management, 117-131, 2022
22022
Process Modeling With Large Language Models
H Kourani, A Berti, D Schuster, WMP van der Aalst
arXiv preprint arXiv:2403.07541, 2024
12024
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, Evaluation Strategies, and Future Challenges
A Berti, H Kourani, H Hafke, CY Li, D Schuster
arXiv preprint arXiv:2403.06749, 2024
12024
ProMoAI: Process Modeling with Generative AI
H Kourani, A Berti, D Schuster, WMP van der Aalst
arXiv preprint arXiv:2403.04327, 2024
2024
Discovering hybrid process models with bounds on time and complexity: When to be formal and when not?
W Aalst, R Masellis, C Francescomarino, C Ghidini, H Kourani
2023
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