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IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou, Lawrence Carin
Bioinformatics (Oxford, England)
|
April 25, 2018
Bayesian negative binomial regression for differential expression with confounding factors
Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
Bioinformatics (Oxford, England)
|
October 9, 2018
Bayesian negative binomial regression for differential expression with confounding factors
Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
Bioinformatics (Oxford, England)
|
June 29, 2018
Covariate-dependent negative binomial factor analysis of RNA sequencing data
Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning
|
October 4, 2014
Lognormal and Gamma Mixed Negative Binomial Regression
Mingyuan Zhou, Lingbo Li, David Dunson, et al.
Materials (Basel, Switzerland)
|
February 11, 2023
Experimental Study of Stress and Deformation of Reclaimed Asphalt Concrete at Different Temperatures
Jing Zhang, Mingyuan Zhou, Juan Liu, et al.
The Journal of Biological Chemistry
|
May 6, 2006
Transcriptional profiling of enriched populations of stem cells versus transient amplifying cells. A comparison of limbal and corneal epithelial basal cells
Mingyuan Zhou, Xin-min Li, Robert M Lavker
Materials (Basel, Switzerland)
|
January 23, 2024
Predicting the Elastic Modulus of Recycled Concrete Considering Material Nonuniformity: Mesoscale Numerical Method
Jing Zhang, Xuejun Zhu, Mingyuan Zhou, et al.
Current Opinion in Solid State & Materials Science
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July 30, 2024
Advancing materials science through next-generation machine learning
Rohit Unni, Mingyuan Zhou, Peter R Wiecha, et al.
Applied Optics
|
January 13, 2018
Hybrid sensing face detection and registration for low-light and unconstrained conditions
Mingyuan Zhou, Haiting Lin, S Susan Young, et al.
Page
of 7
Search research articles
Search
Showing results (1-10 of 66) with videos related to
Sort By:
Page
of 7
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou, Lawrence Carin
Bioinformatics (Oxford, England)
|
April 25, 2018
Bayesian negative binomial regression for differential expression with confounding factors
Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
Bioinformatics (Oxford, England)
|
October 9, 2018
Bayesian negative binomial regression for differential expression with confounding factors
Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
Bioinformatics (Oxford, England)
|
June 29, 2018
Covariate-dependent negative binomial factor analysis of RNA sequencing data
Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning
|
October 4, 2014
Lognormal and Gamma Mixed Negative Binomial Regression
Mingyuan Zhou, Lingbo Li, David Dunson, et al.
Materials (Basel, Switzerland)
|
February 11, 2023
Experimental Study of Stress and Deformation of Reclaimed Asphalt Concrete at Different Temperatures
Jing Zhang, Mingyuan Zhou, Juan Liu, et al.
The Journal of Biological Chemistry
|
May 6, 2006
Transcriptional profiling of enriched populations of stem cells versus transient amplifying cells. A comparison of limbal and corneal epithelial basal cells
Mingyuan Zhou, Xin-min Li, Robert M Lavker
Materials (Basel, Switzerland)
|
January 23, 2024
Predicting the Elastic Modulus of Recycled Concrete Considering Material Nonuniformity: Mesoscale Numerical Method
Jing Zhang, Xuejun Zhu, Mingyuan Zhou, et al.
Current Opinion in Solid State & Materials Science
|
July 30, 2024
Advancing materials science through next-generation machine learning
Rohit Unni, Mingyuan Zhou, Peter R Wiecha, et al.
Applied Optics
|
January 13, 2018
Hybrid sensing face detection and registration for low-light and unconstrained conditions
Mingyuan Zhou, Haiting Lin, S Susan Young, et al.
Page
of 7