19 citations · 22 across the 3 of their papers we have counts for
3 papers
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn +2
During a research project in which we developed a machine learning (ML) driven visualization system for non-ML experts, we reflected on interpretability research in ML, computer-su…
Visualizing and Analyzing Entity Activity on the Bitcoin Network
Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck +1
We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network. Bitcoin is the largest cryptocurrency worldwide and a phe…
PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
Christoph Kinkeldey, Claudia Müller-Birn, Tom Gülenman +2
Machine learning systems are ubiquitous in various kinds of digital applications and have a huge impact on our everyday life. But a lack of explainability and interpretability of s…