Curating a COVID-19 data repository and forecasting county-level death counts in the United States. - Nick Altieri 001; Rebecca L. Barter; James Duncan 002; Raaz Dwivedi; Karl Kumbier; Xiao Li; Robert Netzorg; Briton Park; Chandan Singh; Yan Shuo Tan; Tiffany M. Tang; Yu Wang 075; et al. (CoRR, 2020)

Integrated Principal Components Analysis. - Tiffany M. Tang; Genevera I. Allen (J. Mach. Learn. Res., 2021)

imodels: a python package for fitting interpretable models. - Chandan Singh; Keyan Nasseri; Yan Shuo Tan; Tiffany M. Tang; Bin Yu 001 (J. Open Source Softw., 2021)

MDI+: A Flexible Random Forest-Based Feature Importance Framework. - Abhineet Agarwal; Ana M. Kenney; Yan Shuo Tan; Tiffany M. Tang; Bin Yu 001 (CoRR, 2023)

simChef: High-quality data science simulations in R. - James Duncan 002; Tiffany M. Tang; Corrine F. Elliott; Philippe Boileau; Bin Yu 001 (J. Open Source Softw., 2024)

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices. - Andersen Chang; Tiffany M. Tang; Tarek M. Zikry; Genevera I. Allen (CoRR, 2025)

Local MDI+: Local Feature Importances for Tree-Based Models. - Zhongyuan Liang; Zachary T. Rewolinski; Abhineet Agarwal; Tiffany M. Tang; Bin Yu 001 (CoRR, 2025)