172 citations · 404 across the 23 of their papers we have counts for
24 papers
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations
Stefan Gaugel, Manfred Reichert
The fourth industrial revolution creates ubiquitous sensor data in production plants. To generate maximum value out of these data, reliable and precise time series-based machine le…
XAI in the context of Predictive Process Monitoring: Too much to Reveal
Ghada Elkhawaga, Mervat Abuelkheir, Manfred Reichert
Predictive Process Monitoring (PPM) has been integrated into process mining tools as a value-adding task. PPM provides useful predictions on the further execution of the running bu…
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?
Ghada Elkhawaga, Mervat Abuelkheir, Manfred Reichert
Predictive business process monitoring (PPM) has been around for several years as a use case of process mining. PPM enables foreseeing the future of a business process through pred…
Defining Gaze Patterns for Process Model Literacy -- Exploring Visual Routines in Process Models with Diverse Mappings
Michael Winter, Heiko Neumann, Rüdiger Pryss +2
Process models depict crucial artifacts for organizations regarding documentation, communication, and collaboration. The proper comprehension of such models is essential for an eff…
Verifying Compliance in Process Choreographies: Foundations, Algorithms, and Implementation
Walid Fdhila, David Knuplesch, Stefanie Rinderle-Ma +1
The current push towards interoperability drives companies to collaborate through process choreographies. At the same time, they face a jungle of continuously changing regulations,…
Empowering End-users with Object-aware Processes
Kevin Andrews, Manfred Reichert
Business process management systems from various vendors are used by companies around the globe. Most of these systems allow for the full or partial automation of business processe…
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer +1
The prediction of surrounding traffic participants behavior is a crucial and challenging task for driver assistance and autonomous driving systems. Today's approaches mainly focus…
Are Non-Experts Able to Comprehend Business Process Models -- Study Insights Involving Novices and Experts
Michael Winter, Rüdiger Pryss, Thomas Probst +4
The comprehension of business process models is crucial for enterprises. Prior research has shown that children as well as adolescents perceive and interpret graphical representati…
Corona Health -- A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
Felix Beierle, Johannes Schobel, Carsten Vogel +29
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data…
Towards Measuring and Quantifying the Comprehensibility of Process Models -- The Process Model Comprehension Framework
Michael Winter, Rüdiger Pryss, Matthias Fink +1
Process models constitute crucial artifacts in modern information systems and, hence, the proper comprehension of these models is of utmost importance in the utilization of such sy…
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent…
Robotic Process Automation -- A Systematic Literature Review and Assessment Framework
Judith Wewerka, Manfred Reichert
Robotic Process Automation (RPA) is the automation of rule-based routine processes to increase efficiency and to reduce costs. Due to the utmost importance of process automation in…
Enacting Coordination Processes
Sebastian Steinau, Kevin Andrews, Manfred Reichert
With the rise of data-centric process management paradigms, interdependent processes, such as artifacts or object lifecycles, form a business process through their interactions. Co…
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
Already today, driver assistance systems help to make daily traffic more comfortable and safer. However, there are still situations that are quite rare but are hard to handle at th…
CONDA-PM -- A Systematic Review and Framework for Concept Drift Analysis in Process Mining
Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat +2
Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform…
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp +1
Predicting the behavior of surrounding traffic participants is crucial for advanced driver assistance systems and autonomous driving. Most researchers however do not consider conte…
Detecting Production Phases Based on Sensor Values using 1D-CNNs
Burkhard Hoppenstedt, Manfred Reichert, Ghada El-Khawaga +3
In the context of Industry 4.0, the knowledge extraction from sensor information plays an important role. Often, information gathered from sensor values reveals meaningful insights…
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp +1
By observing their environment as well as other traffic participants, humans are enabled to drive road vehicles safely. Vehicle passengers, however, perceive a notable difference b…
The Internet-of-Things Meets Business Process Management: A Manifesto
Christian Janiesch, Agnes Koschmider, Massimo Mecella +20
The Internet of Things (IoT) refers to a network of connected devices collecting and exchanging data over the Internet. These things can be artificial or natural, and interact as a…
Blockchains for Business Process Management - Challenges and Opportunities
Jan Mendling, Ingo Weber, Wil van der Aalst +29
Blockchain technology promises a sizable potential for executing inter-organizational business processes without requiring a central party serving as a single point of trust (and f…
Change Patterns for Model Creation: Investigating the Role of Nesting Depth
Barbara Weber, Jakob Pinggera, Victoria Torres +1
Process model quality has been an area of considerable research efforts. In this context, the correctness-by-construction principle of change patterns offers a promising perspectiv…
How Advanced Change Patterns Impact the Process of Process Modeling
Barbara Weber, Sarah Zeitelhofer, Jakob Pinggera +2
Process model quality has been an area of considerable research efforts. In this context, correctness-by-construction as enabled by change patterns provides promising perspectives.…
Change Patterns in Use: A Critical Evaluation
Barbara Weber, Jakob Pinggera, Victoria Torres +1
Process model quality has been an area of considerable research efforts. In this context, the correctness-by-construction principle of change patterns provides promising perspectiv…
Making Sense of Declarative Process Models: Common Strategies and Typical Pitfalls
Cornelia Haisjackl, Stefan Zugal, Pnina Soffer +4
Declarative approaches to process modeling are regarded as well suited for highly volatile environments as they provide a high degree of flexibility. However, problems in understan…