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Micah J. Smith
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2020 – today
- 2023
- [c5]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CHIL 2023: 578-597 - [i6]Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer:
Do We Still Need Clinical Language Models? CoRR abs/2302.08091 (2023) - 2022
- [j3]Shubhra Kanti Karmaker Santu
, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni:
AutoML to Date and Beyond: Challenges and Opportunities. ACM Comput. Surv. 54(8): 175:1-175:36 (2022) - 2021
- [b1]Micah J. Smith:
Collaborative, open, and automated data science. Massachusetts Institute of Technology, USA, 2021 - [j2]Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni:
Enabling Collaborative Data Science Development with the Ballet Framework. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 431:1-431:39 (2021) - [i5]Micah J. Smith, Jürgen Cito, Kalyan Veeramachaneni:
Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations. CoRR abs/2103.15787 (2021) - 2020
- [c4]Dongyu Liu
Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development. CHI Extended Abstracts 2020: 1-8 - [c3]Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni:
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. SIGMOD Conference 2020: 785-800 - [i4]Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni:
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. CoRR abs/2010.10777 (2020) - [i3]Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni:
Enabling collaborative data science development with the Ballet framework. CoRR abs/2012.07816 (2020)
2010 – 2019
- 2019
- [c2]Qianwen Wang
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CHI 2019: 681 - [i2]Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CoRR abs/1902.05009 (2019) - [i1]Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni:
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. CoRR abs/1905.08942 (2019) - 2017
- [j1]José Cambronero, John K. Feser, Micah J. Smith, Samuel Madden:
Query Optimization for Dynamic Imputation. Proc. VLDB Endow. 10(11): 1310-1321 (2017) - [c1]Micah J. Smith, Roy Wedge, Kalyan Veeramachaneni:
FeatureHub: Towards Collaborative Data Science. DSAA 2017: 590-600
Coauthor Index
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