59 citations · 117 across the 7 of their papers we have counts for
3 papers · 1 filter
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…