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2020 – today
- 2024
[c1]Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y. Odisho, Bin Yu:
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making. ICLR 2024- 2023
- [i4]Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y. Odisho, Bin Yu:
An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification. CoRR abs/2305.17588 (2023) - 2022
- [b1]Briton Park:
Machine Learning for Information Extraction from Pathology Reports and Adaptive Offline Value Estimation in Reinforcement Learning. University of California, Berkeley, USA, 2022 - 2021
- [j1]Nicholas Altieri, Briton Park
, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu:
Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data. J. Biomed. Informatics 122: 103872 (2021) - 2020
- [i3]Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany M. Tang, Yu Wang, Bin Yu:
Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR abs/2005.07882 (2020) - [i2]Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu:
Stable discovery of interpretable subgroups via calibration in causal studies. CoRR abs/2008.10109 (2020) - [i1]Nick Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu:
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data. CoRR abs/2012.08113 (2020)
Coauthor Index
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