10 citations · 12 across the 2 of their papers we have counts for
4 papers
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…
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development
Angela Lee, Doris Xin, Doris Lee +1
It is well-known that the process of developing machine learning (ML) workflows is a dark-art; even experts struggle to find an optimal workflow leading to a high accuracy model. U…
Towards Scalable Dataframe Systems
Devin Petersohn, Stephen Macke, Doris Xin +7
Dataframes are a popular abstraction to represent, prepare, and analyze data. Despite the remarkable success of dataframe libraries in Rand Python, dataframes face performance issu…
SCATTERSEARCH: Visual Querying of Scatterplot Visualizations
Doris Jung-Lin Lee, Jaewoo Kim, Renxuan Wang +1
Scatterplots are one of the simplest and most commonly-used visualizations for understanding quantitative, multidimensional data. However, since scatterplots only depict two attrib…