78 citations · 116 across the 2 of their papers we have counts for
4 papers
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface
Michael Desmond, Zahra Ashktorab, Michelle Brachman +8
Labeling data is an important step in the supervised machine learning lifecycle. It is a laborious human activity comprised of repeated decision making: the human labeler decides w…
AutoDS: Towards Human-Centered Automation of Data Science
Dakuo Wang, Josh Andres, Justin Weisz +2
Data science (DS) projects often follow a lifecycle that consists of laborious tasks for data scientists and domain experts (e.g., data exploration, model training, etc.). Only til…
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
Yaoli Mao, Dakuo Wang, Michael Muller +4
In recent years there has been an increasing trend in which data scientists and domain experts work together to tackle complex scientific questions. However, such collaborations of…
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Dakuo Wang, Justin D. Weisz, Michael Muller +6
The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One application domain is data science. New techniques in automating the creation of AI, k…