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IEEE Transactions on Neural Networks
|
September 23, 2009
R-POPTVR: a novel reinforcement-based POPTVR fuzzy neural network for pattern classification
Wing-Cheong Wong, Siu-Yeung Cho, Chai Quek
IEEE Transactions on Neural Networks
|
February 2, 2008
An improved algorithm for learning long-term dependency problems in adaptive processing of data structures
Siu-Yeung Cho, Zheru Chi, Wan-Chi Siu, et al.
Blood Pressure Monitoring
|
March 20, 2021
Non-invasive cuff-less blood pressure machine learning algorithm using photoplethysmography and prior physiological data
Sen Yang, Stephen P Morgan, Siu-Yeung Cho, et al.
Human Brain Mapping
|
August 18, 2017
Decoding fMRI events in sensorimotor motor network using sparse paradigm free mapping and activation likelihood estimates
Francisca M Tan, César Caballero-Gaudes, Karen J Mullinger, et al.
Nature Methods
|
October 31, 2017
An objective comparison of cell-tracking algorithms
Vladimír Ulman, Martin Maška, Klas E G Magnusson, et al.
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of 1
Search research articles
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Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Neural Networks
|
September 23, 2009
R-POPTVR: a novel reinforcement-based POPTVR fuzzy neural network for pattern classification
Wing-Cheong Wong, Siu-Yeung Cho, Chai Quek
IEEE Transactions on Neural Networks
|
February 2, 2008
An improved algorithm for learning long-term dependency problems in adaptive processing of data structures
Siu-Yeung Cho, Zheru Chi, Wan-Chi Siu, et al.
Blood Pressure Monitoring
|
March 20, 2021
Non-invasive cuff-less blood pressure machine learning algorithm using photoplethysmography and prior physiological data
Sen Yang, Stephen P Morgan, Siu-Yeung Cho, et al.
Human Brain Mapping
|
August 18, 2017
Decoding fMRI events in sensorimotor motor network using sparse paradigm free mapping and activation likelihood estimates
Francisca M Tan, César Caballero-Gaudes, Karen J Mullinger, et al.
Nature Methods
|
October 31, 2017
An objective comparison of cell-tracking algorithms
Vladimír Ulman, Martin Maška, Klas E G Magnusson, et al.
Page
of 1