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Zongli Lin

Showing results (11-20 of 31) with videos related to

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Computers in Biology and Medicine|June 21, 2021
Cancer diagnosis using generative adversarial networks based on deep learning from imbalanced dataYawen Xiao, Jun Wu, Zongli Lin
IEEE Transactions on Neural Networks and Learning Systems|October 9, 2018
Output Feedback Q-Learning Control for the Discrete-Time Linear Quadratic Regulator ProblemSyed Ali Asad Rizvi, Zongli Lin
Sensors (Basel, Switzerland)|January 11, 2022
CAT: Centerness-Aware Anchor-Free TrackerHaoyi Ma, Scott T Acton, Zongli Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 17, 2020
SITUP: Scale Invariant Tracking using Average Peak-to-Correlation EnergyHaoyi Ma, Scott T Acton, Zongli Lin
Medical Image Analysis|August 1, 2006
A Monte Carlo approach to rolling leukocyte tracking in vivoJing Cui, Scott T Acton, Zongli Lin
Computer Methods and Programs in Biomedicine|November 22, 2017
A deep learning-based multi-model ensemble method for cancer predictionYawen Xiao, Jun Wu, Zongli Lin, et al.
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|April 2, 2009
Constrained motion model of mobile robots and its applicationsFei Zhang, Yugeng Xi, Zongli Lin, et al.
Molecular Biosystems|April 30, 2015
A system level analysis of gastric cancer across tumor stages with RNA-seq dataJun Wu, Xiaodong Zhao, Zongli Lin, et al.
Computer Methods and Programs in Biomedicine|November 13, 2018
A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq dataYawen Xiao, Jun Wu, Zongli Lin, et al.
Molecular Biosystems|December 22, 2015
Large scale gene regulatory network inference with a multi-level strategyJun Wu, Xiaodong Zhao, Zongli Lin, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Computers in Biology and Medicine|June 21, 2021
Cancer diagnosis using generative adversarial networks based on deep learning from imbalanced dataYawen Xiao, Jun Wu, Zongli Lin
IEEE Transactions on Neural Networks and Learning Systems|October 9, 2018
Output Feedback Q-Learning Control for the Discrete-Time Linear Quadratic Regulator ProblemSyed Ali Asad Rizvi, Zongli Lin
Sensors (Basel, Switzerland)|January 11, 2022
CAT: Centerness-Aware Anchor-Free TrackerHaoyi Ma, Scott T Acton, Zongli Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 17, 2020
SITUP: Scale Invariant Tracking using Average Peak-to-Correlation EnergyHaoyi Ma, Scott T Acton, Zongli Lin
Medical Image Analysis|August 1, 2006
A Monte Carlo approach to rolling leukocyte tracking in vivoJing Cui, Scott T Acton, Zongli Lin
Computer Methods and Programs in Biomedicine|November 22, 2017
A deep learning-based multi-model ensemble method for cancer predictionYawen Xiao, Jun Wu, Zongli Lin, et al.
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|April 2, 2009
Constrained motion model of mobile robots and its applicationsFei Zhang, Yugeng Xi, Zongli Lin, et al.
Molecular Biosystems|April 30, 2015
A system level analysis of gastric cancer across tumor stages with RNA-seq dataJun Wu, Xiaodong Zhao, Zongli Lin, et al.
Computer Methods and Programs in Biomedicine|November 13, 2018
A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq dataYawen Xiao, Jun Wu, Zongli Lin, et al.
Molecular Biosystems|December 22, 2015
Large scale gene regulatory network inference with a multi-level strategyJun Wu, Xiaodong Zhao, Zongli Lin, et al.
Pageof 4