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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…
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
Patrick Zschech, Sven Weinzierl, Nico Hambauer +2
The number of information systems (IS) studies dealing with explainable artificial intelligence (XAI) is currently exploding as the field demands more transparency about the intern…
Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations
Johannes Graf, Gino Lancho, Patrick Zschech +1
The COVID-19 pandemic is accompanied by a massive "infodemic" that makes it hard to identify concise and credible information for COVID-19-related questions, like incubation time,…
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
Maximilian Harl, Marvin Herchenbach, Sven Kruschel +3
In recent years, large pre-trained deep neural networks (DNNs) have revolutionized the field of computer vision (CV). Although these DNNs have been shown to be very well suited for…
Survey and Systematization of 3D Object Detection Models and Methods
Moritz Drobnitzky, Jonas Friederich, Bernhard Egger +1
Strong demand for autonomous vehicles and the wide availability of 3D sensors are continuously fueling the proposal of novel methods for 3D object detection. In this paper, we prov…