2.6k citations · 2.7k across the 3 of their papers we have counts for
3 papers
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…
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,…
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-…