Ashley Suh
Orcid: 0000-0001-6513-8447Affiliations:
- MIT Lincoln Laboratory, USA
- Tufts University, Medford, USA
According to our database1,
Ashley Suh
authored at least 16 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts.
IEEE Trans. Vis. Comput. Graph., July, 2024
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities.
IEEE Trans. Vis. Comput. Graph., January, 2024
CoRR, 2024
A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs.
CoRR, 2024
CoRR, 2024
2023
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data.
IEEE Trans. Vis. Comput. Graph., 2023
Characterizing the Users, Challenges, and Visualization Needs of Knowledge Graphs in Practice.
CoRR, 2023
Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023
2022
Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts.
CoRR, 2022
Proceedings of the 24th Eurographics Conference on Visualization, 2022
2021
Communicating Performance of Regression Models Using Visualization in Pharmacovigilance.
Proceedings of the IEEE Workshop on Visual Analytics in Healthcare, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
Proceedings of the 22nd Eurographics Conference on Visualization, 2020
2017
Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features.
CoRR, 2017