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2020 – today
- 2022
[j4]Marianne Procopio
, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang:
Impact of Cognitive Biases on Progressive Visualization. IEEE Trans. Vis. Comput. Graph. 28(9): 3093-3112 (2022)- [c3]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 - [d1]Marianne Procopio, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang:
Impact of Cognitive Biases on Progressive Visualization. IEEE DataPort, 2022
- [i6]Ashley Suh, Yilan Jiang, Abigail Mosca, Eugene Wu, Remco Chang:
A Grammar for Hypothesis-Driven Visual Analysis. CoRR abs/2204.14267 (2022) - [i5]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) - 2021
- [c2]Abigail Mosca, Alvitta Ottley, Remco Chang:
Does Interaction Improve Bayesian Reasoning with Visualization? CHI 2021: 609:1-609:14 - [i4]Abigail Mosca, Alvitta Ottley, Remco Chang:
Does Interaction Improve Bayesian Reasoning with Visualization? CoRR abs/2103.01701 (2021)
2010 – 2019
- 2019
- [j3]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) - [j2]Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. IEEE Trans. Vis. Comput. Graph. 25(1): 872-881 (2019) - [c1]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 - [i3]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) - 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]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) - [i1]Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. CoRR abs/1811.03180 (2018)
Coauthor Index
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