papers

Publications (16)

cs.LG2020

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…

cs.HC2019

Taggle: Combining Overview and Details in Tabular Data Visualizations

Katarina Furmanova, Samuel Gratzl, Holger Stitz +4

Most tabular data visualization techniques focus on overviews, yet many practical analysis tasks are concerned with investigating individual items of interest. At the same time, re…

cs.HC2018

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…

cs.HC2023

VisAhoi: Towards a Library to Generate and Integrate Visualization Onboarding Using High-level Visualization Grammars

Christina Stoiber, Daniela Moitzi, Holger Stitz +5

Visualization onboarding supports users in reading, interpreting, and extracting information from visual data representations. General-purpose onboarding tools and libraries are ap…

cs.HC2017

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…

cs.HC2022

Perspectives of Visualization Onboarding and Guidance in VA

Christina Stoiber, Davide Ceneda, Markus Wagner +5

A typical problem in Visual Analytics is that users are highly trained experts in their application domains, but have mostly no experience in using VA systems. Thus, users often ha…