Dylan Cashman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Visual Analytics

Subject Matter Experts

Neural Architectures

Data Exploration

Top Venues

IEEE Trans. Vis. Comput. Graph.

EuroVis (Short Papers)

IEEE Computer Graphics and Applications

Publications

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) (2024)
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) (2023)
Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang
Inferential Tasks as an Evaluation Technique for Visualization. CoRR (2022)
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)
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 (2022)
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) (2021)
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)
Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Dylan Cashman
Communicating Performance of Regression Models Using Visualization in Pharmacovigilance. VAHC (2021)
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 (2021)
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 (2020)
Subhajit Das, Dylan Cashman, Remco Chang, Alex Endert
Gaggle: Visual Analytics for Model Space Navigation. Graphics Interface (2020)
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) (2020)
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) (2019)
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)
Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks. CoRR (2019)
Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. CoRR (2019)
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) (2019)
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) (2018)
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 (2018)
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 (2018)
Bob Price, Lottie Price, Dylan Cashman, Marzieh Nabi
Efficient Bayesian Detection of Disease Onset in Truncated Medical Data. ICHI (2017)