activity
20172020
most citedEvaluating Semantic Interaction on Word Embeddings via Simulation

2 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG20201 cited

NetReAct: Interactive Learning for Network Summarization

Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch +4

Generating useful network summaries is a challenging and important problem with several applications like sensemaking, visualization, and compression. However, most of the current…

cs.HC2020

An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration

John Wenskovitch, Chris North

How do analysts think about grouping and spatial operations? This overarching question incorporates a number of points for investigation, including understanding how analysts begin…

cs.HC20202 cited

Evaluating Semantic Interaction on Word Embeddings via Simulation

Yali Bian, Michelle Dowling, Chris North

Semantic interaction (SI) attempts to learn the user's cognitive intents as they directly manipulate data projections during sensemaking activity. For text analysis, prior implemen…

cs.HC20202 cited

DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning

Yali Bian, John Wenskovitch, Chris North

This paper examines how deep learning (DL) representations, in contrast to traditional engineered features, can support semantic interaction (SI) in visual analytics. SI attempts t…

cs.GR2018

Smooth, Efficient, and Interruptible Zooming and Panning

Andrew Reach, Chris North

This paper introduces a novel technique for smooth and efficient zooming and panning based on dynamical systems in hyperbolic space. Unlike the technique of van Wijk and Nuij, the…

cs.GR20171 cited

The Signals and Systems Approach to Animation

Andrew McCaleb Reach, Chris North

Animation is ubiquitous in visualization systems, and a common technique for creating these animations is the transition. In the transition approach, animations are created by smoo…