59 citations · 204 across the 12 of their papers we have counts for
14 papers
How Do We Visualize Space in Molecular Biology? A Study of Spatial Transcriptomics Visualization Practices
Denisse Chacón-Ramírez, Mark S. Keller, Eric Mörth +3
A cell's identity depends on where it sits in tissue: for example, a macrophage behaves differently in a tumor core than at its edge. Spatial transcriptomics has transformed how we…
Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding
Vaishali Dhanoa, Gabriela Molina León, Eve Hoggan +3
Visualization dashboards are regularly used for data exploration and analysis, but their complex interactions and interlinked views often require time-consuming onboarding sessions…
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…
ParaDime: A Framework for Parametric Dimensionality Reduction
Andreas Hinterreiter, Christina Humer, Bernhard Kainz +1
ParaDime is a framework for parametric dimensionality reduction (DR). In parametric DR, neural networks are trained to embed high-dimensional data items in a low-dimensional space…
Visualization Onboarding Grounded in Educational Theories
Christina Stoiber, Markus Wagner, Florian Grassinger +5
The aim of visualization is to support people in dealing with large and complex information structures, to make these structures more comprehensible, facilitate exploration, and en…
Comparative Evaluations of Visualization Onboarding Methods
Christina Stoiber, Conny Walchshofer, Margit Pohl +5
Comprehending and exploring large and complex data is becoming increasingly important for users in a wide range of application domains. Still, non-experts in visual data analysis o…
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…
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…
Projective Latent Interventions for Understanding and Fine-tuning Classifiers
Andreas Hinterreiter, Marc Streit, Bernhard Kainz
High-dimensional latent representations learned by neural network classifiers are notoriously hard to interpret. Especially in medical applications, model developers and domain exp…
ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths
Andreas Hinterreiter, Christian Steinparz, Moritz Schöfl +2
In problem-solving, a path towards solutions can be viewed as a sequence of decisions. The decisions, made by humans or computers, describe a trajectory through a high-dimensional…
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…
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…
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…