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Dylan Cashman
Dylan Cashman
Senior Expert Data Science, Advanced Visual Analytics, Novartis
Verified email at tufts.edu - Homepage
Title
Cited by
Cited by
Year
Rnnbow: Visualizing learning via backpropagation gradients in rnns
D Cashman, G Patterson, A Mosca, N Watts, S Robinson, R Chang
IEEE Computer Graphics and Applications 38 (6), 39-50, 2018
552018
A User‐based Visual Analytics Workflow for Exploratory Model Analysis
D Cashman, SR Humayoun, F Heimerl, K Park, S Das, J Thompson, ...
Computer Graphics Forum 38 (3), 185-199, 2019
40*2019
Beames: Interactive multimodel steering, selection, and inspection for regression tasks
S Das, D Cashman, R Chang, A Endert
IEEE computer graphics and applications 39 (5), 20-32, 2019
362019
Ablate, variate, and contemplate: Visual analytics for discovering neural architectures
D Cashman, A Perer, R Chang, H Strobelt
IEEE transactions on visualization and computer graphics 26 (1), 863-873, 2019
232019
Cava: A visual analytics system for exploratory columnar data augmentation using knowledge graphs
D Cashman, S Xu, S Das, F Heimerl, C Liu, SR Humayoun, M Gleicher, ...
IEEE Transactions on Visualization and Computer Graphics 27 (2), 1731-1741, 2020
92020
Neuralcubes: Deep representations for visual data exploration
Z Wang, D Cashman, M Li, J Li, M Berger, JA Levine, R Chang, ...
2021 IEEE International Conference on Big Data (Big Data), 550-561, 2021
82021
Defining an Analysis: A Study of Client-Facing Data Scientists.
A Mosca, S Robinson, M Clarke, R Redelmeier, S Coates, D Cashman, ...
EuroVis (Short Papers), 73-77, 2019
52019
Nncubes: Learned structures for visual data exploration
Z Wang, D Cashman, M Li, J Li, M Berger, JA Levine, R Chang, ...
arXiv preprint arXiv:1808.08983, 2018
52018
Inferential tasks as a data-rich evaluation method for visualization
D Cashman, Y Wu, R Chang, A Ottley
EVIVA-ML: IEEE VIS Workshop on EValuation of Interactive VisuAl Machine …, 2019
32019
Mast: A tool for visualizing CNN model architecture searches
D Cashman, A Perer, H Strobelt
ICLR 2019 Debugging Machine Learning Models Workshop, 2019
32019
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
M Espadoto, G Appleby, A Suh, D Cashman, M Li, CE Scheidegger, ...
IEEE Transactions on Visualization and Computer Graphics, 2021
22021
Gaggle: Visual Analytics for Model Space Navigation
S Das, D Cashman, R Chang, A Endert
12019
Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts
A Suh, G Appleby, EW Anderson, L Finelli, R Chang, D Cashman
arXiv preprint arXiv:2205.05749, 2022
2022
Inferential Tasks as an Evaluation Technique for Visualization
A Suh, A Mosca, S Robinson, Q Pham, D Cashman, A Ottley, R Chang
arXiv preprint arXiv:2205.05712, 2022
2022
White (but Not Black) Americans Continue to See Racism as a Zero-Sum Game; White Conservatives (but Not Moderates or Liberals) See Themselves as Losing
R Rasmussen, DE Levari, M Akhtar, CS Crittle, M Gately, J Pagan, ...
Perspectives on Psychological Science, 17456916221082111, 2022
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
2021
Bridging the Human-Machine Gap in Applied Machine Learning with Visual Analytics
D Cashman
Tufts University, 2020
2020
CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions
B Kang, D Cashman, R Chang, J Lijffijt, T De Bie
IEEE VIS, 2018
2018
Efficient Bayesian Detection of Disease Onset in Truncated Medical Data
B Price, L Price, D Cashman, M Nabi
2017 IEEE International Conference on Healthcare Informatics (ICHI), 208-213, 2017
2017
Gaggle: Visual Analytics using Interactive Multi-Model Steering
S Das, D Cashman, R Chang, A Endert
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