2.6k citations · 4.5k across the 12 of their papers we have counts for
12 papers
Beyond the Golden Record: Toward a Design Theory for Trustworthy Master Data Management with Self-Sovereign Identity
Niklas Schulte, Isaac Henderson Johnson Jeyakumar, Michael Kubach +1
Ensuring the timeliness and reliability of master data remains a persistent challenge for many organizations. To mitigate these quality deficits, organizations frequently rely on c…
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch +1
The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. The…
A Survey of Text Representation Methods and Their Genealogy
Philipp Siebers, Christian Janiesch, Patrick Zschech
In recent years, with the advent of highly scalable artificial-neural-network-based text representation methods the field of natural language processing has seen unprecedented grow…
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner +1
Machine learning algorithms enable advanced decision making in contemporary intelligent systems. Research indicates that there is a tradeoff between their model performance and exp…
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
Jonas Wanner, Christopher Wissuchek, Giacomo Welsch +1
Fueled by increasing data availability and the rise of technological advances for data processing and communication, business analytics is a key driver for smart manufacturing. How…
Enhancing business process execution with a context engine
Christian Janiesch, Jörn Kuhlenkamp
Changes in workflow relevant data of business processes at run-time can hinder their completion or impact their profitability as they have been instantiated under different circums…
A survey of image labelling for computer vision applications
Christoph Sager, Christian Janiesch, Patrick Zschech
Supervised machine learning methods for image analysis require large amounts of labelled training data to solve computer vision problems. The recent rise of deep learning algorithm…
Machine learning and deep learning
Christian Janiesch, Patrick Zschech, Kai Heinrich
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-…
On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study
Marcus Fischer, Adrian Hofmann, Florian Imgrund +2
Digital transformation forces companies to rethink their processes to meet current customer needs. Business Process Management (BPM) can provide the means to structure and tackle t…
Specifying Autonomy in the Internet of Things: The Autonomy Model and Notation
Christian Janiesch, Marcus Fischer, Axel Winkelmann +1
Driven by digitization in society and industry, automating behavior in an autonomous way substantially alters industrial value chains in the smart service world. As processes are e…
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…
Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud
Stefan Schulte, Christian Janiesch, Srikumar Venugopal +2
With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted…