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Intelligence for Embedded Systems: A Methodological Approach [Book Review]

Type: Journal Paper

Author : He, Haibo

Publisher: IEEE

Year: 2014

Imbalanced Learning (Foundations, Algorithms, and Applications) || Ensemble Methods for Class Imbalance Learning

Type: Journal Paper

Author : He, Haibo; Ma, Yunqian

Year: 2013

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Imbalanced Learning (Foundations, Algorithms, and Applications) || Class Imbalance Learning Methods for Support Vector Machines

Type: Journal Paper

Author : He, Haibo; Ma, Yunqian

Year: 2013

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Imbalanced Learning (Foundations, Algorithms, and Applications) || Nonstationary Stream Data Learning with Imbalanced Class Distribution

Type: Journal Paper

Author : He, Haibo; Ma, Yunqian

Year: 2013

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Adaptive Learning in Tracking Control Based on the Dual Critic Network Design

Type: Journal Paper

Author : Ni, Zhen; He, Haibo; Wen, Jinyu

Year: 2013

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[Lecture Notes in Computer Science] Advances in Neural Networks â ISNN 2009 Volume 5552 || Integrated Radial Basis Function Networks with Adaptive Residual Subsampling Training Method for Approximation and Solving PDEs

Type: Journal Paper

Author : Yu, Wen; He, Haibo; Zhang, Nian

Year: 2009

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Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map

Type: Journal Paper

Author : Yan, Jun; Zhu, Yihai; He, Haibo; Sun, Yan

Publisher: IEEE

Year: 2013

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Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization

Type: Journal Paper

Author : Tang, Yufei; Ju, Ping; He, Haibo; Qin, Chuan; Wu, Feng

Year: 2013

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Advancing motivated learning with goal creation

Type: Conference Paper

Author : Graham, James; Starzyk, Janusz A.; Ni, Zhen; He, Haibo

Publisher: IEEE

Year: 2014

Data-driven partially observable dynamic processes using adaptive dynamic programming

Type: Conference Paper

Author : Zhong, Xiangnan; Ni, Zhen; Tang, Yufei; He, Haibo

Publisher: IEEE

Year: 2014

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Intelligence for Embedded Systems: A Methodological Approach [Book Review]

Imbalanced Learning (Foundations, Algorithms, and Applications) || Ensemble Methods for Class Imbalance Learning

Imbalanced Learning (Foundations, Algorithms, and Applications) || Class Imbalance Learning Methods for Support Vector Machines

Imbalanced Learning (Foundations, Algorithms, and Applications) || Nonstationary Stream Data Learning with Imbalanced Class Distribution

Adaptive Learning in Tracking Control Based on the Dual Critic Network Design

[Lecture Notes in Computer Science] Advances in Neural Networks â ISNN 2009 Volume 5552 || Integrated Radial Basis Function Networks with Adaptive Residual Subsampling Training Method for Approximation and Solving PDEs

Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map

Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization

Advancing motivated learning with goal creation

Data-driven partially observable dynamic processes using adaptive dynamic programming

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Intelligence for Embedded Systems: A Methodological Approach [Book Review]

Imbalanced Learning (Foundations, Algorithms, and Applications) || Ensemble Methods for Class Imbalance Learning

Imbalanced Learning (Foundations, Algorithms, and Applications) || Class Imbalance Learning Methods for Support Vector Machines

Imbalanced Learning (Foundations, Algorithms, and Applications) || Nonstationary Stream Data Learning with Imbalanced Class Distribution

Adaptive Learning in Tracking Control Based on the Dual Critic Network Design

[Lecture Notes in Computer Science] Advances in Neural Networks â ISNN 2009 Volume 5552 || Integrated Radial Basis Function Networks with Adaptive Residual Subsampling Training Method for Approximation and Solving PDEs

Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map

Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization

Advancing motivated learning with goal creation

Data-driven partially observable dynamic processes using adaptive dynamic programming