43 citations · 62 across the 6 of their papers we have counts for
3 papers · 1 filter
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows
Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal +8
Exploratory data science largely happens in computational notebooks with dataframe APIs, such as pandas, that support flexible means to transform, clean, and analyze data. Yet, vis…
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study
Doris Jung-Lin Lee, Vidya Setlur, Melanie Tory +2
Visualization recommendation (VisRec) systems provide users with suggestions for potentially interesting and useful next steps during exploratory data analysis. These recommendatio…
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Doris Xin, Eva Yiwei Wu, Doris Jung-Lin Lee +2
Efforts to make machine learning more widely accessible have led to a rapid increase in Auto-ML tools that aim to automate the process of training and deploying machine learning. T…