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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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Mingquan Bao

Lin Lin

Other publications of authors with the same name

A chest silhouette recognition method based on digital image processing.M. Lin, J. Xian, D. Gao, S. Wu, and J. Cai. ICNC, page 862-867. IEEE, (2014)Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection.J. Ma, W. Kou, M. Lin, C. Cho, and B. Chiu. IEEE Trans. Syst. Man Cybern. Syst., 54 (3): 1705-1718 (2024)Person re-identification via semi-supervised adaptive graph embedding.J. Liu, M. Lin, M. Zhao, C. Zhan, B. Li, and J. Chui. Appl. Intell., 53 (3): 2656-2672 (2023)A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging.W. Chen, M. Lin, E. Gibson, M. Bastian-Jordan, D. Cool, Z. Kassam, H. Liang, G. Feng, A. Ward, and B. Chiu. Comput. Biol. Medicine, (2018)Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning.M. Lin, T. Li, Z. Sun, G. Holste, Y. Ding, F. Wang, G. Shih, and Y. Peng. CoRR, (2024)Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.M. Lin, L. Liu, M. Gorden, M. Kass, S. Tassel, F. Wang, and Y. Peng. MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 436-445. Springer, (2022)Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.T. Wanyan, M. Lin, E. Klang, K. Menon, F. Gulamali, A. Azad, Y. Zhang, Y. Ding, Z. Wang, F. Wang and 2 other author(s). BCB, page 9:1-9:9. ACM, (2022)An empirical study of using radiology reports and images to improve ICU-mortality prediction.M. Lin, S. Wang, Y. Ding, L. Zhao, F. Wang, and Y. Peng. ICHI, page 497-498. IEEE, (2021)Prostate lesion detection and localization based on locality alignment discriminant analysis.M. Lin, W. Chen, M. Zhao, E. Gibson, M. Bastian-Jordan, D. Cool, Z. Kassam, T. Chow, A. Ward, and B. Chiu. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101344A. SPIE, (2017)An empirical study of using radiology reports and images to improve ICU mortality prediction.M. Lin, S. Wang, Y. Ding, L. Zhao, F. Wang, and Y. Peng. CoRR, (2023)

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Disambiguation of "Lin, Mingquan"

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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

Mingquan Bao

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lin, Mingquan"

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

Mingquan Bao

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

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