Micah J. Smith

According to our database, Micah J. Smith authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

AutoML to Date and Beyond: Challenges and Opportunities.

Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni

ACM Comput. Surv., 2022

2021

Collaborative, open, and automated data science.

Micah J. Smith

PhD thesis, 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

Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations.

Micah J. Smith, Jürgen Cito, Kalyan Veeramachaneni

CoRR, 2021

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, ChengXiang Zhai, Kalyan Veeramachaneni

CoRR, 2020

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development.

Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni

Proceedings of the 2020 International Conference on Management of Data, 2020

Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development.

Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

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

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2017

Query Optimization for Dynamic Imputation.

José Cambronero, John K. Feser, Micah J. Smith, Samuel Madden

Proc. VLDB Endow., 2017

FeatureHub: Towards Collaborative Data Science.

Micah J. Smith, Roy Wedge, Kalyan Veeramachaneni

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017