Grace Guo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Artificially Intelligent

Classification Models

Causal Inference

Top Venues

Publications

Grace Guo, Dustin Arendt, Alex Endert
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows. CoRR (2024)
Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Chan, Elora Raymond, Carl DiSalvo
Situating Data Sets: Making Public Data Actionable for Housing Justice. CoRR (2024)
Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Christopher MacLellan, Alex Endert
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. CoRR (2024)
Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. CoRR (2024)
Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. FAccT (2024)
Grace Guo, John T. Stasko, Alex Endert
What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships. AVI (2024)
Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Andrew Chan, Elora Lee Raymond, Carl DiSalvo
Situating Datasets: Making Public Eviction Data Actionable for Housing Justice. CHI (2024)
Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Christopher J. MacLellan, Alex Endert
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. AVI (2024)
Grace Guo, John T. Stasko, Alex Endert
What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships. CoRR (2024)
Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon
Causalvis: Visualizations for Causal Inference. CoRR (2023)
Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon
Causalvis: Visualizations for Causal Inference. CHI (2023)
Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt
VAINE: Visualization and AI for Natural Experiments. CoRR (2021)
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40 (3) (2021)
Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt
VAINE: Visualization and AI for Natural Experiments. IEEE VIS (Short Papers) (2021)
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. CoRR (2020)
Grace Guo, Bianchi Dy, Nazim Ibrahim, Sam Conrad Joyce, Ate Poorthuis
Examining Design-Centric Test Participants in Graphical Perception Experiments. EuroVis (Short Papers) (2020)
Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau
A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR (2020)