FeatureHub: Towards Collaborative Data Science. - Micah J. Smith; Roy Wedge; Kalyan Veeramachaneni (DSAA, 2017)

Query Optimization for Dynamic Imputation. - José Cambronero; John K. Feser; Micah J. Smith; Samuel Madden 001 (Proc. VLDB Endow., 2017)

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. - Qianwen Wang; Yao Ming; Zhihua Jin; Qiaomu Shen; Dongyu Liu; Micah J. Smith; Kalyan Veeramachaneni; Huamin Qu (CHI, 2019)

Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development. - Dongyu Liu; Micah J. Smith; Kalyan Veeramachaneni (CHI Extended Abstracts, 2020)

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. - Micah J. Smith; Carles Sala; James Max Kanter; Kalyan Veeramachaneni (SIGMOD Conference, 2020)

A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. - Shubhra Kanti Karmaker Santu; Md. Mahadi Hassan; Micah J. Smith; Lei Xu 040; ChengXiang Zhai; Kalyan Veeramachaneni (CoRR, 2020)

Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations. - Micah J. Smith; Jürgen Cito; Kalyan Veeramachaneni (CoRR, 2021)

Enabling Collaborative Data Science Development with the Ballet Framework. - Micah J. Smith; Jürgen Cito; Kelvin Lu; Kalyan Veeramachaneni (Proc. ACM Hum. Comput. Interact., 2021)

Collaborative, open, and automated data science. - Micah J. Smith (2021)

AutoML to Date and Beyond: Challenges and Opportunities. - Shubhra Kanti Karmaker Santu; Md. Mahadi Hassan; Micah J. Smith; Lei Xu 040; Chengxiang Zhai; Kalyan Veeramachaneni (ACM Comput. Surv., 2022)

Do We Still Need Clinical Language Models? - Eric Lehman; Evan Hernandez; Diwakar Mahajan; Jonas Wulff; Micah J. Smith; Zachary Ziegler; Daniel Nadler; Peter Szolovits; Alistair E. W. Johnson; Emily Alsentzer (CHIL, 2023)