Search Results for author: Jürgen Bernard

Found 3 papers, 1 papers with code

Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding

1 code implementation24 Jun 2021 Zipeng Liu, Yang Wang, Jürgen Bernard, Tamara Munzner

Graph neural networks (GNNs) are a class of powerful machine learning tools that model node relations for making predictions of nodes or links.

ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion

no code implementations2 Oct 2019 Andreas Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit

The confusion matrix is an established way for visualizing these class errors, but it was not designed with temporal or comparative analysis in mind.

Active Learning Model Selection +1

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