Dylan Cashman

Orcid: 0000-0003-4853-5701

According to our database¹, Dylan Cashman authored at least 19 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2024

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., July, 2024

"They Aren't Built For Me": A Replication Study of Visual Graphical Perception with Tactile Representations of Data for Visually Impaired Users.

[BibT_eX]

[DOI]

CoRR, 2024

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction.

[BibT_eX]

[DOI]

Sonny George

Chris Sypherd

Dylan Cashman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2023

2022

Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts.

[BibT_eX]

[DOI]

CoRR, 2022

Inferential Tasks as an Evaluation Technique for Visualization.

[BibT_eX]

[DOI]

Proceedings of the 24th Eurographics Conference on Visualization, 2022

2021

CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

Communicating Performance of Regression Models Using Visualization in Pharmacovigilance.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Visual Analytics in Healthcare, 2021

NeuralCubes: Deep Representations for Visual Data Exploration.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

Gaggle: Visual Analytics for Model Space Navigation.

[BibT_eX]

[DOI]

Proceedings of the 46th Graphics Interface Conference 2020, 2020

2019

RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

A User-based Visual Analytics Workflow for Exploratory Model Analysis.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2019

BEAMES: Interactive Multimodel Steering, Selection, and Inspection for Regression Tasks.

[BibT_eX]

[DOI]

IEEE Computer Graphics and Applications, 2019

Defining an Analysis: A Study of Client-Facing Data Scientists.

[BibT_eX]

[DOI]

Proceedings of the 21st Eurographics Conference on Visualization, 2019

2018

Visual Analytics for Automated Model Discovery.

[BibT_eX]

[DOI]

CoRR, 2018

NNCubes: Learned Structures for Visual Data Exploration.

[BibT_eX]

[DOI]

CoRR, 2018

RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs.

[BibT_eX]

[DOI]

IEEE Computer Graphics and Applications, 2018

2017

Efficient Bayesian Detection of Disease Onset in Truncated Medical Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Dylan Cashman

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