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Junshui Ma

Showing results (1-10 of 28) with videos related to

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Neural Computation|October 28, 2003
Accurate on-line support vector regressionJunshui Ma, James Theiler, Simon Perkins
Journal of Neuroscience Methods|January 18, 2011
High-throughput ocular artifact reduction in multichannel electroencephalography (EEG) using component subspace projectionJunshui Ma, Sevinç Bayram, Peining Tao, et al.
Journal of Neuroscience Methods|June 29, 2010
Statistical methods to estimate treatment effects from multichannel electroencephalography (EEG) data in clinical trialsJunshui Ma, Shubing Wang, Richard Raubertas, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|January 14, 2012
Muscle artifacts in multichannel EEG: characteristics and reductionJunshui Ma, Peining Tao, Sevinç Bayram, et al.
Journal of Biopharmaceutical Statistics|November 13, 2023
Covariate-adjusted value-guided subgroup identification via boostingJinchun Zhang, Pingye Zhang, Junshui Ma, et al.
Statistics in Medicine|August 14, 2020
A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival dataPingye Zhang, Junshui Ma, Xinqun Chen, et al.
Journal of Chemical Information and Modeling|September 6, 2017
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity RelationshipsYuting Xu, Junshui Ma, Andy Liaw, et al.
Journal of Chemical Information and Modeling|January 31, 2015
Deep neural nets as a method for quantitative structure-activity relationshipsJunshui Ma, Robert P Sheridan, Andy Liaw, et al.
Sleep|September 9, 2014
Electroencephalographic power spectral density profile of the orexin receptor antagonist suvorexant in patients with primary insomnia and healthy subjectsJunshui Ma, Vladimir Svetnik, Ellen Snyder, et al.
Journal of Chemical Information and Modeling|December 14, 2016
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P Sheridan, Wei Min Wang, Andy Liaw, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Neural Computation|October 28, 2003
Accurate on-line support vector regressionJunshui Ma, James Theiler, Simon Perkins
Journal of Neuroscience Methods|January 18, 2011
High-throughput ocular artifact reduction in multichannel electroencephalography (EEG) using component subspace projectionJunshui Ma, Sevinç Bayram, Peining Tao, et al.
Journal of Neuroscience Methods|June 29, 2010
Statistical methods to estimate treatment effects from multichannel electroencephalography (EEG) data in clinical trialsJunshui Ma, Shubing Wang, Richard Raubertas, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|January 14, 2012
Muscle artifacts in multichannel EEG: characteristics and reductionJunshui Ma, Peining Tao, Sevinç Bayram, et al.
Journal of Biopharmaceutical Statistics|November 13, 2023
Covariate-adjusted value-guided subgroup identification via boostingJinchun Zhang, Pingye Zhang, Junshui Ma, et al.
Statistics in Medicine|August 14, 2020
A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival dataPingye Zhang, Junshui Ma, Xinqun Chen, et al.
Journal of Chemical Information and Modeling|September 6, 2017
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity RelationshipsYuting Xu, Junshui Ma, Andy Liaw, et al.
Journal of Chemical Information and Modeling|January 31, 2015
Deep neural nets as a method for quantitative structure-activity relationshipsJunshui Ma, Robert P Sheridan, Andy Liaw, et al.
Sleep|September 9, 2014
Electroencephalographic power spectral density profile of the orexin receptor antagonist suvorexant in patients with primary insomnia and healthy subjectsJunshui Ma, Vladimir Svetnik, Ellen Snyder, et al.
Journal of Chemical Information and Modeling|December 14, 2016
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P Sheridan, Wei Min Wang, Andy Liaw, et al.
Pageof 3