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Grace Guo
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2020 – today
- 2024
- [c7]Grace Guo
, John T. Stasko
What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships. AVI 2024: 9:1-9:5 - [c6]Grace Guo
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. AVI 2024: 45:1-45:9 - [c5]Anh-Ton Tran
Situating Datasets: Making Public Eviction Data Actionable for Housing Justice. CHI 2024: 767:1-767:16 - [c4]Grace Guo
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. FAccT 2024: 1861-1874 - [i11]Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Chan, Elora Raymond, Carl DiSalvo:
Situating Data Sets: Making Public Data Actionable for Housing Justice. CoRR abs/2402.12505 (2024) - [i10]Grace Guo, Dustin Arendt, Alex Endert:
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows. CoRR abs/2404.02081 (2024) - [i9]Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Christopher MacLellan, Alex Endert:
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. CoRR abs/2404.12944 (2024) - [i8]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 abs/2404.12952 (2024) - [i7]Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon:
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. CoRR abs/2404.16174 (2024) - [i6]Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister:
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. CoRR abs/2410.04634 (2024) - [i5]Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma:
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. CoRR abs/2411.00257 (2024) - 2023
- [c3]Grace Guo
Causalvis: Visualizations for Causal Inference. CHI 2023: 462:1-462:20 - [i4]Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon:
Causalvis: Visualizations for Causal Inference. CoRR abs/2303.00617 (2023) - 2021
- [j1]Fabian Sperrle
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40(3): 543-567 (2021) - [c2]Grace Guo
VAINE: Visualization and AI for Natural Experiments. IEEE VIS (Short Papers) 2021: 21-25 - [i3]Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt:
VAINE: Visualization and AI for Natural Experiments. CoRR abs/2109.04348 (2021) - 2020
- [c1]Grace Guo, Bianchi Dy, Nazim Ibrahim
Examining Design-Centric Test Participants in Graphical Perception Experiments. EuroVis (Short Papers) 2020: 43-47 - [i2]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 abs/2009.06433 (2020) - [i1]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 abs/2010.11761 (2020)
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