2 citations · 2 across the 1 of their papers we have counts for
4 papers
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level
Michael Pühringer, Andreas Hinterreiter, Marc Streit
Classification is one of the most important supervised machine learning tasks. During the training of a classification model, the training instances are fed to the model multiple t…
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
Andreas Hinterreiter, Peter Ruch, Holger Stitz +4
Classifiers are among the most widely used supervised machine learning algorithms. Many classification models exist, and choosing the right one for a given task is difficult. Durin…
Juniper: A Tree+Table Approach to Multivariate Graph Visualization
Carolina Nobre, Marc Streit, Alexander Lex
Analyzing large, multivariate graphs is an important problem in many domains, yet such graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree+tabl…
Amending the Characterization of Guidance in Visual Analytics
Davide Ceneda, Theresia Gschwandtner, Thorsten May +4
At VAST 2016, a characterization of guidance has been presented. It includes a definition of guidance and a model of guidance based on van Wijk's model of visualization. This note…