activity
20202022
most citedMachine learning and deep learning

2.6k citations · 2.8k across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL202215 cited

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…

cs.CV202181 cited

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…

cs.AI20212.6k cited

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-…

cs.SE202018 cited

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…

cs.HC202030 cited

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…