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Gabriel Appleby
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2020 – today
- 2024
- [j5]Harry X. Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, Ashley Suh:
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities. IEEE Trans. Vis. Comput. Graph. 30(1): 584-594 (2024) - [j4]Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Remco Chang, Dylan Cashman:
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts. IEEE Trans. Vis. Comput. Graph. 30(7): 4137-4153 (2024) - [i11]Harry X. Li, Gabriel Appleby, Ashley Suh:
A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs. CoRR abs/2404.01425 (2024) - [i10]Brian Montambault, Gabriel Appleby, Jen Rogers, Camelia D. Brumar, Mingwei Li, Remco Chang:
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic. CoRR abs/2404.07386 (2024) - [i9]Camelia D. Brumar, Sam Molnar, Gabriel Appleby, Kristi Potter, Remco Chang:
A Typology of Decision-Making Tasks for Visualization. CoRR abs/2404.08812 (2024) - [i8]Harry X. Li, Gabriel Appleby, Ashley Suh:
LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering. CoRR abs/2406.06621 (2024) - 2023
- [j3]Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, Mingwei Li, Carlos Scheidegger, Erik W. Anderson, Remco Chang, Alexandru C. Telea:
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 29(2): 1559-1572 (2023) - [i7]Harry X. Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, Ashley Suh:
Characterizing the Users, Challenges, and Visualization Needs of Knowledge Graphs in Practice. CoRR abs/2304.01311 (2023) - [i6]Gabriel Appleby, Linfeng Liu, Li-Ping Liu:
Kriging Convolutional Networks. CoRR abs/2306.09463 (2023) - [i5]Camelia D. Brumar, Gabriel Appleby, Jen Rogers, Teddy Matinde, Lara Thompson, Remco Chang, Anamaria Crisan:
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations. CoRR abs/2310.11562 (2023) - 2022
- [j2]Gabriel Appleby, Mateus Espadoto, Rui Chen, Samuel Goree, Alexandru C. Telea, Erik W. Anderson, Remco Chang:
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters. Comput. Graph. Forum 41(3): 169-181 (2022) - [i4]Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Remco Chang, Dylan Cashman:
Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts. CoRR abs/2205.05749 (2022) - [i3]Samuel Goree, Gabriel Appleby, David J. Crandall, Norman Makoto Su:
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper. CoRR abs/2209.11200 (2022) - 2021
- [j1]Fatemah Mukadum, Quan Nguyen, Daniel M. Adrion, Gabriel Appleby, Rui Chen, Haley Dang, Remco Chang, Roman Garnett, Steven A. Lopez:
Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search. J. Chem. Inf. Model. 61(11): 5524-5534 (2021) - [c2]Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Dylan Cashman:
Communicating Performance of Regression Models Using Visualization in Pharmacovigilance. VAHC 2021: 6-13 - [i2]Gabriel Appleby, Mateus Espadoto, Rui Chen, Samuel Goree, Alexandru C. Telea, Erik W. Anderson, Remco Chang:
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters. CoRR abs/2106.13777 (2021) - [i1]Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, Mingwei Li, Carlos Scheidegger, Erik W. Anderson, Remco Chang, Alexandru C. Telea:
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. CoRR abs/2111.01744 (2021) - 2020
- [c1]Gabriel Appleby, Linfeng Liu, Liping Liu:
Kriging Convolutional Networks. AAAI 2020: 3187-3194
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