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2020 – today
- 2024
[j7]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)- [c7]Sonny George, Chris Sypherd, Dylan Cashman:
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction. EMNLP (Findings) 2024: 15447-15459 - [i10]Areen Khalaila, Lane Harrison, Nam Wook Kim, Dylan Cashman:
"They Aren't Built For Me": A Replication Study of Visual Graphical Perception with Tactile Representations of Data for Visually Impaired Users. CoRR abs/2410.08438 (2024) - [i9]Sonny George, Chris Sypherd, Dylan Cashman:
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction. CoRR abs/2411.12828 (2024) - 2023
- [j6]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) - 2022
- [c6]Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang:
Inferential Tasks as an Evaluation Technique for Visualization. EuroVis (Short Papers) 2022: 13-17 - [i8]Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang:
Inferential Tasks as an Evaluation Technique for Visualization. CoRR abs/2205.05712 (2022) - [i7]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) - 2021
- [j5]Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang:
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs. IEEE Trans. Vis. Comput. Graph. 27(2): 1731-1741 (2021) - [c5]Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NeuralCubes: Deep Representations for Visual Data Exploration. IEEE BigData 2021: 550-561 - [c4]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 - [i6]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
- [j4]Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. IEEE Trans. Vis. Comput. Graph. 26(1): 863-873 (2020) - [c3]Subhajit Das, Dylan Cashman, Remco Chang, Alex Endert:
Gaggle: Visual Analytics for Model Space Navigation. Graphics Interface 2020: 137-147 - [i5]Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang:
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs. CoRR abs/2009.02865 (2020)
2010 – 2019
- 2019
- [j3]Subhajit Das, Dylan Cashman, Remco Chang, Alex Endert:
BEAMES: Interactive Multimodel Steering, Selection, and Inspection for Regression Tasks. IEEE Computer Graphics and Applications 39(5): 20-32 (2019) - [j2]Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, Remco Chang:
A User-based Visual Analytics Workflow for Exploratory Model Analysis. Comput. Graph. Forum 38(3): 185-199 (2019) - [c2]Abigail Mosca, Shannon Robinson, Meredith Clarke, Rebecca Redelmeier, Sebastian Coates, Dylan Cashman, Remco Chang:
Defining an Analysis: A Study of Client-Facing Data Scientists. EuroVis (Short Papers) 2019: 73-77 - [i4]Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang:
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks. CoRR abs/1907.12545 (2019) - [i3]Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. CoRR abs/1908.00387 (2019) - 2018
- [j1]Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang:
RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs. IEEE Computer Graphics and Applications 38(6): 39-50 (2018) - [i2]Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NNCubes: Learned Structures for Visual Data Exploration. CoRR abs/1808.08983 (2018) - [i1]Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, Remco Chang:
Visual Analytics for Automated Model Discovery. CoRR abs/1809.10782 (2018) - 2017
- [c1]Bob Price, Lottie Price, Dylan Cashman, Marzieh Nabi:
Efficient Bayesian Detection of Disease Onset in Truncated Medical Data. ICHI 2017: 208-213
Coauthor Index
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