13 citations · 18 across the 8 of their papers we have counts for
8 papers
FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring
Felix Möhrlein, Martin Käppel, Julian Neuberger +4
Sensitive attributes like gender or age can lead to unfair predictions in machine learning tasks such as predictive business process monitoring, particularly when used without cons…
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Julian Neuberger, Han van der Aa, Lars Ackermann +3
Machine-learning based generation of process models from natural language text process descriptions provides a solution for the time-intensive and expensive process discovery phase…
Attention Please: What Transformer Models Really Learn for Process Prediction
Martin Käppel, Lars Ackermann, Stefan Jablonski +1
Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance. In the last year…
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
Julian Neuberger, Lars Ackermann, Han van der Aa +1
Over the past decade, extensive research efforts have been dedicated to the extraction of information from textual process descriptions. Despite the remarkable progress witnessed i…
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…
Leveraging Data Augmentation for Process Information Extraction
Julian Neuberger, Leonie Doll, Benedict Engelmann +2
Business Process Modeling projects often require formal process models as a central component. High costs associated with the creation of such formal process models motivated many…
Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text
Julian Neuberger, Lars Ackermann, Stefan Jablonski
Process-aware information systems offer extensive advantages to companies, facilitating planning, operations, and optimization of day-to-day business activities. However, the time-…
Inter-Paradigm Translation of Process Models using Simulation and Mining
Lars Ackermann, Stefan Schönig, Stefan Jablonski
Process modeling is usually done using imperative modeling languages like BPMN or EPCs. In order to cope with the complexity of human-centric and flexible business processes severa…