Results 181 to 190 of about 22,474 (244)

Quantitative Metrics for Edge Bundling of Network Visualizations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger   +3 more
wiley   +1 more source

Serendipitous Explanations: Interaction‐Triggered Comprehension Aids in Visualization

open access: yesComputer Graphics Forum, EarlyView.
Abstract Evidence continues to accrue around the difficulties people have understanding new and complex visualizations, which in turn provides continued incentive to explore additional methods of supporting visualization viewers. Through leveraging viewers' spontaneous visualization sensemaking activities, we introduce a Serendipitous Explanation ...
M. Rezaie, M. Tory, S. Carpendale
wiley   +1 more source

Enabling multirotor UAVs to perch, land and detach with standard propeller guards. [PDF]

open access: yesCommun Eng
Zou Y   +7 more
europepmc   +1 more source

Clusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci   +6 more
wiley   +1 more source

Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis

open access: yesComputer Graphics Forum, EarlyView.
Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley   +1 more source

Early warning signals for loss of control in complex systems. [PDF]

open access: yesProc Natl Acad Sci U S A
van Beers JJ   +5 more
europepmc   +1 more source

Evaluating Encodings for Bivariate Edges in Adjacency Matrices

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real‐world networks, edges represent not a single value but a set of measurements. While adjacency matrices preserve structural clarity, their compact cells limit the simultaneous display of multiple
J. Acosta‐Hernández, A. Lex, T. He
wiley   +1 more source

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