Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification.
CoRR, 2023
Machine Learning for Information Extraction from Pathology Reports and Adaptive Offline Value Estimation in Reinforcement Learning
PhD thesis, 2022
Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data.
J. Biomed. Informatics, 2021
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data.
CoRR, 2020
Stable discovery of interpretable subgroups via calibration in causal studies.
CoRR, 2020
Curating a COVID-19 data repository and forecasting county-level death counts in the United States.
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CoRR, 2020