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05/26/2023
Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles
As online news increasingly include data journalism, there is a correspo...
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05/26/2023
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
Pre-trained transformer-based language models are becoming increasingly ...
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04/04/2023
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Large Language Models (LLMs) have gained widespread popularity due to th...
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03/01/2023
Causalvis: Visualizations for Causal Inference
Causal inference is a statistical paradigm for quantifying causal effect...
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09/14/2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups
Disease risk models can identify high-risk patients and help clinicians ...
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09/14/2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
Image classification models often learn to predict a class based on irre...
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04/20/2022
An Empirical Study on the Relationship Between the Number of Coordinated Views and Visual Analysis
Coordinated Multiple views (CMVs) are a visualization technique that sim...
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04/04/2022
ConceptExplainer: Understanding the Mental Model of Deep Learning Algorithms via Interactive Concept-based Explanations
Traditional deep learning interpretability methods which are suitable fo...
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12/09/2020
Modeling Disease Progression Trajectories from Longitudinal Observational Data
Analyzing disease progression patterns can provide useful insights into ...
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07/24/2020
User-driven Analysis of Longitudinal Health Data with Hidden Markov Models for Clinical Insights
A goal of clinical researchers is to understand the progression of a dis...
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01/16/2020
GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback
Users may face challenges while designing graphical user interfaces, due...
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11/03/2019
Geono-Cluster: Interactive Visual Cluster Analysis for Biologists
Biologists often perform clustering analysis to derive meaningful patter...
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09/13/2019
SANVis: Visual Analytics for Understanding Self-Attention Networks
Attention networks, a deep neural network architecture inspired by human...
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08/19/2019
Thumbnails for Data Stories: A Survey of Current Practices
When people browse online news, small thumbnail images accompanying link...
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04/26/2019
DPVis: Visual Exploration of Disease Progression Pathways
Clinical researchers use disease progression modeling algorithms to pred...
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05/28/2018
