State of the art of visual analytics for explainable deep learning
The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …
their computational costs are becoming increasingly widespread in many domains. Deep …
Interactive visual cluster analysis by contrastive dimensionality reduction
We propose a contrastive dimensionality reduction approach (CDR) for interactive visual
cluster analysis. Although dimensionality reduction of high-dimensional data is widely used …
cluster analysis. Although dimensionality reduction of high-dimensional data is widely used …
Toward a taxonomy for 2d non-paired general line coordinates: A comprehensive survey
Multidimensional data visualization is one of the primary foundations supporting data
analysis used for understanding the hidden relationships between items and dimensions of …
analysis used for understanding the hidden relationships between items and dimensions of …
Towards better utilization of haptic interaction in visualization: Design space and knob prototype
Humans encounter a vast array of sensory stimuli in their everyday lives. However, many
visualization techniques primarily utilize visual feedback, which may disregard certain …
visualization techniques primarily utilize visual feedback, which may disregard certain …
Parallel Chords: an audio-visual analytics design for parallel coordinates
One of the commonly used visualization techniques for multivariate data is the parallel
coordinates plot. It provides users with a visual overview of multivariate data and the …
coordinates plot. It provides users with a visual overview of multivariate data and the …
[HTML][HTML] Circle packing charts generated by ChatGPT to identify the characteristics of articles by anesthesiology authors in 2022: Bibliometric analysis
Background: The ChatGPT (Open AI, San Francisco, CA), denoted by the Chat Generative
Pretrained Transformer, has been a hot topic for discussion over the past few months. A …
Pretrained Transformer, has been a hot topic for discussion over the past few months. A …
Line Weaver: Importance‐Driven Order Enhanced Rendering of Dense Line Charts
Line charts are an effective and widely used technique for visualizing series of ordered two‐
dimensional data points. The relationship between consecutive points is indicated by …
dimensional data points. The relationship between consecutive points is indicated by …
Pc-expo: A metrics-based interactive axes reordering method for parallel coordinate displays
Parallel coordinate plots (PCPs) have been widely used for high-dimensional (HD) data
storytelling because they allow for presenting a large number of dimensions without …
storytelling because they allow for presenting a large number of dimensions without …
[HTML][HTML] Pcp-ed: Parallel coordinate plots for ensemble data
Abstract The Parallel Coordinate Plot (PCP) is a complex visual design commonly used for
the analysis of high-dimensional data. Increasing data size and complexity may make it …
the analysis of high-dimensional data. Increasing data size and complexity may make it …
Visual analysis of multi-parameter distributions across ensembles of 3d fields
For an ensemble of 3D multi-parameter fields, we present a visual analytics workflow to
analyse whether and which parts of a selected multi-parameter distribution is present in all …
analyse whether and which parts of a selected multi-parameter distribution is present in all …