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)

Stable discovery of interpretable subgroups via calibration in causal studies. - Raaz Dwivedi; Yan Shuo Tan; Briton Park; Mian Wei; Kevin Horgan; David Madigan; Bin Yu 001 (CoRR, 2020)

Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data. - Nick Altieri 001; Briton Park; Mara Olson; John DeNero; Anobel Y. Odisho; Bin Yu 001 (CoRR, 2020)

Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data. - Nicholas Altieri 001; Briton Park; Mara Olson; John DeNero; Anobel Y. Odisho; Bin Yu 001 (J. Biomed. Informatics, 2021)

Machine Learning for Information Extraction from Pathology Reports and Adaptive Offline Value Estimation in Reinforcement Learning - Briton Park (2022)

An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification. - Aliyah R. Hsu; Yeshwanth Cherapanamjeri; Briton Park; Tristan Naumann; Anobel Y. Odisho; Bin Yu 001 (CoRR, 2023)

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making. - Aliyah R. Hsu; Yeshwanth Cherapanamjeri; Briton Park; Tristan Naumann; Anobel Y. Odisho; Bin Yu 001 (ICLR, 2024)