23 citations · 29 across the 6 of their papers we have counts for
6 papers
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
Henryk Mustroph, Michel Kunkler, Stefanie Rinderle-Ma
Suffix prediction of business processes forecasts the remaining sequence of events until process completion. Current approaches focus on predicting the most likely suffix, represen…
A Systematic Review of Business Process Improvement: Achievements and Potentials in Combining Concepts from Operations Research and Business Process Management
Michel Kunkler, Felix Schumann, Stefanie Rinderle-Ma
Business Process Management and Operations Research are two research fields that both aim to enhance value creation in organizations. While Business Process Management has historic…
Recent Advances in Data-Driven Business Process Management
Lars Ackermann, Martin Käppel, Laura Marcus +21
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm sh…
INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining
Janik-Vasily Benzin, Gyunam Park, Juergen Mangler +1
Process events are recorded by multiple information systems at different granularity levels. Based on the resulting event logs, process models are discovered at different granulari…
Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-based Ranking, Crowd and Expert-driven Methods
Catherine Sai, Shazia Sadiq, Lei Han +2
Organizations face the challenge of ensuring compliance with an increasing amount of requirements from various regulatory documents. Which requirements are relevant depends on aspe…
Bridging MDE and AI: A Systematic Review of Domain-Specific Languages and Model-Driven Practices in AI Software Systems Engineering
Simon Raedler, Luca Berardinelli, Karolin Winter +2
Background:Technical systems are growing in complexity with more components and functions across various disciplines. Model-Driven Engineering (MDE) helps manage this complexity by…