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Journal Articles
- 2023
[j2]Nicholas J. Dobbins
, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen:
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. J. Am. Medical Informatics Assoc. 30(12): 1954-1964 (2023)- [j1]Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller:
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31(1): 89-97 (2023)
Conference and Workshop Papers
- 2023
- [c3]Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL 2023: 125-130 - 2020
- [c2]Weipeng Zhou, Gang Luo:
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. Poly/DMAH@VLDB 2020: 213-227 - 2018
- [c1]Weipeng Zhou, Pan Wang, Xuejiao Chen, Feng Ye:
An Improved Bloom Filter in Distributed Crawler. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1797-1802
Informal and Other Publications
- 2023
- [i2]Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen:
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. CoRR abs/2304.06203 (2023) - [i1]Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller:
Considerations for health care institutions training large language models on electronic health records. CoRR abs/2309.12339 (2023)
Coauthor Index
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