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Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.

T. Wanyan, M. Lin, Y. Ding, B. Glicksberg, F. Wang, and Y. Peng. ICHI, page 101-110. IEEE, (2023)

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Yifan Jin

Yifan Zhu

Yifan Wang

Yifan Shi

Yifan Chen

Other publications of authors with the same name

Comment Generation for Source Code: State of the Art, Challenges and Opportunities.X. Wang, Y. Peng, and B. Zhang. CoRR, (2018)BioSentVec: creating sentence embeddings for biomedical texts.Q. Chen, Y. Peng, and Z. Lu. CoRR, (2018)DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs.Y. Peng, S. Dharssi, Q. Chen, T. Keenan, E. Agrón, W. Wong, E. Chew, and Z. Lu. CoRR, (2018)Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.Q. Chen, T. Keenan, A. Allot, Y. Peng, E. Agrón, A. Domalpally, C. Klaver, D. Luttikhuizen, M. Colyer, C. Cukras and 7 other author(s). CoRR, (2020)Representing and utilizing clinical textual data for real world studies: An OHDSI approach.V. Keloth, J. Banda, M. Gurley, P. Heider, G. Kennedy, H. Liu, F. Liu, T. Miller, K. Natarajan, O. Patterson and 17 other author(s). J. Biomed. Informatics, (June 2023)ML-Net: multi-label classification of biomedical texts with deep neural networks.J. Du, Q. Chen, Y. Peng, Y. Xiang, C. Tao, and Z. Lu. CoRR, (2018)An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives.S. Wang, Y. Dang, Z. Sun, Y. Ding, J. Pathak, C. Tao, Y. Xiao, and Y. Peng. J. Am. Medical Informatics Assoc., 30 (8): 1408-1417 (July 2023)BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph.Y. Peng, C. Arighi, C. Wu, and K. Vijay-Shanker. Database J. Biol. Databases Curation, (2016)Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning.W. Chen, J. Shi, B. Yan, D. Berrebbi, W. Zhang, Y. Peng, X. Chang, S. Maiti, and S. Watanabe. ASRU, page 1-8. IEEE, (2023)E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge.Y. Kashiwagi, S. Arora, H. Futami, J. Huynh, S. Wu, Y. Peng, B. Yan, E. Tsunoo, and S. Watanabe. ICASSP, page 1-2. IEEE, (2023)

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Disambiguation of "Peng, Yifan"

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Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.

Please choose a person to relate this publication to

Yifan Jin

Yifan Zhu

Yifan Wang

Yifan Shi

Yifan Chen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Yifan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.

Please choose a person to relate this publication to

Yifan Jin

Yifan Zhu

Yifan Wang

Yifan Shi

Yifan Chen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.