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2020 – today
- 2024
[c2]Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia:
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR 2024: 587-608- 2023
- [i2]Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia:
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR abs/2311.11463 (2023) - [i1]Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng:
A Brief Tutorial on Sample Size Calculations for Fairness Audits. CoRR abs/2312.04745 (2023) - 2021
- [j2]Yizeng He
, Soyoung Kim, Mi-Ok Kim, Wael Saber, Kwang Woo Ahn:
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection. Comput. Stat. Data Anal. 158: 107167 (2021)
2010 – 2019
- 2017
- [j1]Hyunkeun Cho, Seonjin Kim, Mi-Ok Kim:
Multiple quantile regression analysis of longitudinal data: Heteroscedasticity and efficient estimation. J. Multivar. Anal. 155: 334-343 (2017)
2000 – 2009
- 2004
- [c1]Mi-Ok Kim, Jun-Ho Her, R. S. Ramakrishna:
Replication Decision Making for Dynamic Data Replica Management in Data Grid. PDPTA 2004: 794-800
Coauthor Index
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