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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 4, 2013
Joint association discovery and diagnosis of Alzheimer's disease by supervised heterogeneous multiview learning
Shandian Zhe, Zenglin Xu, Yuan Qi, et al.
Journal of Sports Sciences
|
September 20, 2024
What explains adolescents' physical activity and sports participation during the COVID-19 pandemic? - an interpretable machine learning approach
Lingyi Fu, Ryan D Burns, Shandian Zhe, et al.
Bioinformatics (Oxford, England)
|
June 11, 2013
Joint network and node selection for pathway-based genomic data analysis
Shandian Zhe, Syed A Z Naqvi, Yifan Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach
Liang Lan, Zhuang Wang, Shandian Zhe, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
Variational Random Function Model for Network Modeling
Zenglin Xu, Bin Liu, Shandian Zhe, et al.
Bioinformatics (Oxford, England)
|
June 9, 2017
DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates
Hao Peng, Yifan Yang, Shandian Zhe, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
June 27, 2020
Block-term tensor neural networks
Jinmian Ye, Guangxi Li, Di Chen, et al.
Journal of Medical Internet Research
|
January 28, 2026
The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review
Lingyi Fu, Ryan Burns, Yuhuan Xie, et al.
Scientific Reports
|
January 26, 2022
Development and validation of a machine learning method to predict intraoperative red blood cell transfusions in cardiothoracic surgery
Zheng Wang, Shandian Zhe, Joshua Zimmerman, et al.
JCO Clinical Cancer Informatics
|
July 25, 2023
Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer
Shikai Fang, Shandian Zhe, Hui-Ming Lin, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 4, 2013
Joint association discovery and diagnosis of Alzheimer's disease by supervised heterogeneous multiview learning
Shandian Zhe, Zenglin Xu, Yuan Qi, et al.
Journal of Sports Sciences
|
September 20, 2024
What explains adolescents' physical activity and sports participation during the COVID-19 pandemic? - an interpretable machine learning approach
Lingyi Fu, Ryan D Burns, Shandian Zhe, et al.
Bioinformatics (Oxford, England)
|
June 11, 2013
Joint network and node selection for pathway-based genomic data analysis
Shandian Zhe, Syed A Z Naqvi, Yifan Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach
Liang Lan, Zhuang Wang, Shandian Zhe, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
Variational Random Function Model for Network Modeling
Zenglin Xu, Bin Liu, Shandian Zhe, et al.
Bioinformatics (Oxford, England)
|
June 9, 2017
DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates
Hao Peng, Yifan Yang, Shandian Zhe, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
June 27, 2020
Block-term tensor neural networks
Jinmian Ye, Guangxi Li, Di Chen, et al.
Journal of Medical Internet Research
|
January 28, 2026
The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review
Lingyi Fu, Ryan Burns, Yuhuan Xie, et al.
Scientific Reports
|
January 26, 2022
Development and validation of a machine learning method to predict intraoperative red blood cell transfusions in cardiothoracic surgery
Zheng Wang, Shandian Zhe, Joshua Zimmerman, et al.
JCO Clinical Cancer Informatics
|
July 25, 2023
Multi-Omic Integration of Blood-Based Tumor-Associated Genomic and Lipidomic Profiles Using Machine Learning Models in Metastatic Prostate Cancer
Shikai Fang, Shandian Zhe, Hui-Ming Lin, et al.
Page
of 1