32 citations · 34 across the 5 of their papers we have counts for
5 papers · 1 filter
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic
Brian Montambault, Gabriel Appleby, Jen Rogers +3
Dimensionality reduction techniques are widely used for visualizing high-dimensional data. However, support for interpreting patterns of dimension reduction results in the context…
A Typology of Decision-Making Tasks for Visualization
Camelia D. Brumar, Sam Molnar, Gabriel Appleby +2
Despite decision-making being a vital goal of data visualization, little work has been done to differentiate decision-making tasks within the field. While visualization task taxono…
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
Camelia D. Brumar, Gabriel Appleby, Jen Rogers +4
Content recommendation tasks increasingly use Graph Neural Networks, but it remains challenging for machine learning experts to assess the quality of their outputs. Visualization s…
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
Harry Li, Gabriel Appleby, Camelia Daniela Brumar +2
This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases. Thro…
PIXAL: Anomaly Reasoning with Visual Analytics
Brian Montambault, Camelia D. Brumar, Michael Behrisch +1
Anomaly detection remains an open challenge in many application areas. While there are a number of available machine learning algorithms for detecting anomalies, analysts are frequ…