activity
20172024
most citedShould We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations

11 citations · 30 across the 15 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.DS20192 cited

A Quality Metric for Symmetric Graph Drawings

Amyra Meidiana, Seok-Hee Hong, Peter Eades +1

Symmetry is an important aesthetic criteria in graph drawing and network visualisation. Symmetric graph drawings aim to faithfully represent automorphisms of graphs as geometric sy…

cs.LG2019

Towards a Rigorous Evaluation of XAI Methods on Time Series

Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2

Explainable Artificial Intelligence (XAI) methods are typically deployed to explain and debug black-box machine learning models. However, most proposed XAI methods are black-boxes…

cs.HC2019

Framing Visual Musicology through Methodology Transfer

Matthias Miller, Hanna Schäfer, Matthias Kraus +3

In this position paper, we frame the field of Visual Musicology by providing an overview of well-established musicological sub-domains and their corresponding analytic and visualiz…

cs.DS2019

A Quality Metric for Visualization of Clusters in Graphs

Amyra Meidiana, Seok-Hee Hong, Peter Eades +1

Traditionally, graph quality metrics focus on readability, but recent studies show the need for metrics which are more specific to the discovery of patterns in graphs. Cluster anal…

cs.HC2019

Speculative Execution for Guided Visual Analytics

Fabian Sperrle, Jürgen Bernard, Michael Sedlmair +2

We propose the concept of Speculative Execution for Visual Analytics and discuss its effectiveness for model exploration and optimization. Speculative Execution enables the automat…

cs.GR2019

Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters

David Pomerenke, Frederik L. Dennig, Daniel A. Keim +2

Parallel coordinates are a popular technique to visualize multi-dimensional data. However, they face a significant problem influencing the perception and interpretation of patterns…