Search Results for author:
Found 4 papers, 0 papers with code
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
However, there is little to no empirical evidence of this tradeoff from an end user perspective.
Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations
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, infection rates, or the effectiveness of vaccines.
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
For this purpose, we consider the design of such systems from a hybrid intelligence (HI) perspective and aim to derive prescriptive design knowledge for CV-based HI systems.
Machine learning and deep learning
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
