VIS Full Papers: A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations Authors: Tushar M. Athawale, Bryan Triana, Tanmay Kotha, David Pugmire, Paul Rosen
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GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Genera
Investigating the Visual Utility of Differentially Private Scatterplots | VIS 2023
Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associations | VIS 2023
Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting | VIS 2023
Creating Emordle: Animating Word Cloud for Emotion Expression | VIS 2023
Causality-Based Visual Analysis of Questionnaire Responses | VIS 2023
Opening & Best Papers I | VIS 2023
Best Papers II | VIS 2023
Rainbow Colormaps: What are they good and bad for? | VIS 2023
VisGrader: Automatic Grading of D3 Visualizations | VIS 2023
Narrative In Situ Visual Analysis for Large-Scale Ocean Eddy Evolution | VIS 2023
Team-Builder: Toward More Effective Lineup Selection in Soccer | VIS 2023
Target Netgrams: An Annulus-constrained Stress Model for Radial Graph Visualization | VIS 2023
ScrollyVis: Interactive Visual Authoring of Guided Dynamic Narratives for Scientific Scrollytelling
PanVA: Pangenomic Variant Analysis | VIS 2023
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization | VIS
MitoVis: A Unified Visual Analytics System for End-to-End Neuronal Mitochondria Analysis | VIS 2023
Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution | VIS
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matte
Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles | VIS 2023
Force-directed graph layouts revisited: a new force based on the t-Distribution | VIS 2023
Vimo: Visual Analysis of Neuronal Connectivity Motifs | VIS 2023
The Reality of the Situation: A Survey of Situated Analytics | VIS 2023
Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer