| AutoML to Date and Beyond: Challenges and Opportunities SK Karmaker (Santu), MM Hassan, MJ Smith, L Xu, C Zhai, ... ACM Computing Surveys 54 (8), 1-36, 2021 | 245* | 2021 |
| ATMSeer: Increasing transparency and controllability in automated machine learning Q Wang, Y Ming, Z Jin, Q Shen, D Liu, MJ Smith, K Veeramachaneni, ... Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 128 | 2019 |
| Do We Still Need Clinical Language Models? E Lehman, E Hernandez, D Mahajan, J Wulff, MJ Smith, Z Ziegler, ... Conference on Health, Inference, and Learning, 578-597, 2023 | 120 | 2023 |
| The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development MJ Smith, C Sala, JM Kanter, K Veeramachaneni Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 71 | 2020 |
| Query optimization for dynamic imputation J Cambronero, JK Feser, MJ Smith, S Madden Proceedings of the VLDB Endowment 10 (11), 1310-1321, 2017 | 45 | 2017 |
| Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development D Liu, MJ Smith, K Veeramachaneni Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 32 | 2020 |
| FeatureHub: Towards collaborative data science MJ Smith, R Wedge, K Veeramachaneni IEEE International Conference on Data Science and Advanced Analytics, 590-600, 2017 | 31 | 2017 |
| Enabling collaborative data science development with the Ballet framework MJ Smith, J Cito, K Lu, K Veeramachaneni Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-39, 2021 | 8 | 2021 |
| Ballet: A lightweight framework for open-source, collaborative feature engineering MJ Smith, K Lu, K Veeramachaneni Workshop on Systems for ML and Open Source Software at NeurIPS 2018, 2018 | 4 | 2018 |
| Collaborative, Open, and Automated Data Science MJ Smith Ph. D. Thesis. Massachusetts Institute of Technology, 2021 | 1 | 2021 |
| Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations MJ Smith, J Cito, K Veeramachaneni arXiv preprint arXiv:2103.15787, 2021 | 1 | 2021 |
| Demonstration of Ballet: A Framework for Open-Source Collaborative Feature Engineering MJ Smith, K Lu, K Veeramachaneni MLSys, 2020 | 1 | 2020 |
| Scaling Collaborative Open Data Science MJ Smith Massachusetts Institute of Technology, 2018 | 1 | 2018 |
| Composite feature engineering D Wang, U Khurana, C Gan, G Bramble, A Valente, A Chaudhary, ... US Patent App. 17/525,932, 2023 | | 2023 |
Kalyan VeeramachaneniPrincipal Research Scientist, Massachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu