Abigail Mosca

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Recurrent Neural Networks

Cumulative Residual Entropy

Kullback Leibler Divergence

Region Matching

Top Venues

EuroVis (Short Papers)

IEEE Trans. Vis. Comput. Graph.

IEEE Computer Graphics and Applications

Publications

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, Yilan Jiang, Abigail Mosca, Eugene Wu, Remco Chang
A Grammar for Hypothesis-Driven Visual Analysis. CoRR (2022)
Marianne Procopio, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang
Impact of Cognitive Biases on Progressive Visualization. IEEE Trans. Vis. Comput. Graph. 28 (9) (2022)
Abigail Mosca, Alvitta Ottley, Remco Chang
Does Interaction Improve Bayesian Reasoning with Visualization? CHI (2021)
Abigail Mosca, Alvitta Ottley, Remco Chang
Does Interaction Improve Bayesian Reasoning with Visualization? CoRR (2021)
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)
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) (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)
Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. 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)