| Persistent homology guided force-directed graph layouts A Suh, M Hajij, B Wang, C Scheidegger, P Rosen IEEE Transactions on Visualization and Computer Graphics 26 (1), 697-707, 2019 | 40 | 2019 |
| Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities H Li, G Appleby, CD Brumar, R Chang, A Suh IEEE Transactions on Visualization and Computer Graphics (TVCG) 30 (1), 584 …, 2023 | 23* | 2023 |
| Unprojection: Leveraging inverse-projections for visual analytics of high-dimensional data M Espadoto, G Appleby, A Suh, D Cashman, M Li, C Scheidegger, ... IEEE Transactions on Visualization and Computer Graphics 29 (2), 1559-1572, 2021 | 23 | 2021 |
| Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts A Suh, G Appleby, EW Anderson, L Finelli, R Chang, D Cashman IEEE Transactions on Visualization and Computer Graphics, 2023 | 9* | 2023 |
| A Grammar of Hypotheses for Visualization, Data, and Analysis A Suh, Y Jiang, A Mosca, E Wu, R Chang arXiv preprint arXiv:2204.14267, 2022 | 6* | 2022 |
| TopoLines: Topological Smoothing for Line Charts P Rosen, A Suh, C Salgado, M Hajij EuroVis 2020 - Short Papers, 85-89, 2020 | 5 | 2020 |
| Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots D Braun, A Suh, R Chang, M Gleicher, T von Landesberger 2023 IEEE Visualization and Visual Analytics (VIS), 181-185, 2023 | 3 | 2023 |
| Inferential Tasks as an Evaluation Technique for Visualization A Suh, A Mosca, S Robinson, Q Pham, D Cashman, A Ottley, R Chang EuroVis 2022 - Short Papers, 2022 | 3 | 2022 |
| Communicating Performance of Regression Models Using Visualization in Pharmacovigilance A Suh, G Appleby, EW Anderson, L Finelli, D Cashman 2021 IEEE Workshop on Visual Analytics in Healthcare (VAHC), 6-13, 2021 | 2 | 2021 |
| More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool A Suh, H Li, C Kenney, K Alperin, SR Gomez ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI), 2024 | 1 | 2024 |
| A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs H Li, G Appleby, A Suh arXiv preprint arXiv:2404.01425, 2024 | 1 | 2024 |
| Analysis Without Data: Teaching Students to Tackle the VAST Challenge EW He, D Tolessa, A Suh, R Chang IEEE Workshop on Visualization Guidelines in Research, Design, and Education, 2022 | 1 | 2022 |
| Driving interactive graph exploration using 0-dimensional persistent homology features A Suh, M Hajij, B Wang, C Scheidegger, P Rosen arXiv preprint arXiv:1712.05548, 2017 | 1 | 2017 |
| STL: Still Tricky Logic (for System Validation, Even When Showing Your Work) I Hurley, R Paleja, A Suh, JD Peņa, HC Siu arXiv preprint arXiv:2407.02632, 2024 | | 2024 |
| LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering H Li, G Appleby, A Suh arXiv preprint arXiv:2406.06621, 2024 | | 2024 |
| Preliminary Guidelines For Combining Data Integration and Visual Data Analysis A Coscia, A Suh, R Chang, A Endert IEEE Transactions on Visualization and Computer Graphics, 2023 | | 2023 |
| From Exploratory to Hypothesis-Driven Visual Data Analysis A Suh Tufts University, 2023 | | 2023 |
| A Preliminary Roadmap for LLMs as Visual Data Analysis Assistants H Li, G Appleby, A Suh | | |
| VAHC 2021 S Srabanti, G Elisabeta, A Suh, G Appleby, EW Anderson, L Finelli, ... | | |
Remco ChangProfessor, Tufts UniversityVerified email at cs.tufts.edu
