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Found 7 papers, 3 papers with code
INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining
To enable the exploration of discovered process models at different granularity levels, we propose INEXA, an interactive, explainable process model abstraction method that keeps the link to the event log.
Model-Driven Engineering Method to Support the Formalization of Machine Learning using SysML
Results: By consolidating the knowledge of domain and machine learning experts, a powerful tool to describe machine learning tasks by formalizing knowledge using the systems modeling language SysML is introduced.
Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?
Then a systematic literature review on conversational process modeling is performed, resulting in a taxonomy of application scenarios for conversational process modeling, including paraphrasing and improvement of process descriptions.
Sustainability Through Cognition Aware Safety Systems -- Next Level Human-Machine-Interaction
Industrial Safety deals with the physical integrity of humans, machines and the environment when they interact during production scenarios.
The Role of Time and Data: Online Conformance Checking in the Manufacturing Domain
Secondly, it is investigated whether and how process mining supports domain experts during process monitoring as a secondary task.
Generating Reliable Process Event Streams and Time Series Data based on Neural Networks
Domains such as manufacturing and medicine crave for continuous monitoring and analysis of their processes, especially in combination with time series as produced by sensors.
Cloud Process Execution Engine - Evaluation of the Core Concepts
In this technical report we describe describe the Domain Specific Language (DSL) of the Workflow Execution Execution (WEE).
Software Engineering
