40 citations · 494 across the 38 of their papers we have counts for
5 papers · 1 filter
Explaining with Examples: Lessons Learned from Crowdsourced Introductory Description of Information Visualizations
Leni Yang, Cindy Xiong, Jason K. Wong +2
Data visualizations have been increasingly used in oral presentations to communicate data patterns to the general public. Clear verbal introductions of visualizations to explain ho…
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
Zhihua Jin, Xin Jiang, Xingbo Wang +4
Existing generative pre-trained language models (e.g., GPT) focus on modeling the language structure and semantics of general texts. However, those models do not consider the numer…
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
Furui Cheng, Dongyu Liu, Fan Du +5
Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model…
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
Aoyu Wu, Yun Wang, Mengyu Zhou +4
We contribute a deep-learning-based method that assists in designing analytical dashboards for analyzing a data table. Given a data table, data workers usually need to experience a…
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu +5
Visualizations themselves have become a data format. Akin to other data formats such as text and images, visualizations are increasingly created, stored, shared, and (re-)used with…