59 citations · 117 across the 7 of their papers we have counts for
8 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…
EventColumn: Integrating Event Sequences into Tabular Visualizations
Jakob Zethofer, Andreas Hinterreiter, Lukas Schiefermüller +2
We introduce EventColumn, a new column type that integrates event-sequence data with heterogeneous tabular attributes into a single unified table. EventColumn lets analysts compare…
Visual Fingerprints for LLM Generation Comparison
Amal Alnouri, Andreas Hinterreiter, Christina Humer +2
Large language model (LLM) outputs arise from complex interactions among prompts, system instructions, model parameters, and architecture. We refer to specific configurations of th…
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…
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…