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Humam Kourani
Humam Kourani
Research Associate, Fraunhofer Institute for Applied Information Technology
Bestätigte E-Mail-Adresse bei fit.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
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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