Guang-Bin Huang

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Sundararajan NRetd. Prof EEE, NTU, SingaporeVerified email at ntu.edu.sg
Erik CambriaAssociate Professor, NTU SingaporeVerified email at ntu.edu.sg
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
Jiexiong TangKTH Royal Institute of TechnologyVerified email at kth.se
Cao JiuwenProfessor of Institute of Information and Control, Hangzhou Dianzi University, ChinaVerified email at hdu.edu.cn
Weiwei ZongHenry Ford Health SystemVerified email at hfhs.org
Huaguang ZhangNortheastern University, ChinaVerified email at mail.neu.edu.cn
chi man vongUniversity of MacauVerified email at umac.mo
De-Shuang HuangInstitute of Machine Learning and Systems Biology Tongji UniversityVerified email at tongji.edu.cn
Nan LIU, PhDDuke-NUS Medical SchoolVerified email at duke-nus.edu.sg
Kai (Alex) QinSwinburne University of TechnologyVerified email at swin.edu.au
Feng GuoruiShanghai UniversityVerified email at shu.edu.cn
Yew-Soon OngProfessor of Computer Science, IEEE FellowVerified email at ntu.edu.sg
Arindam BasuAssociate Professor of EEE at NTUVerified email at ntu.edu.sg
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Guoqi LiAssociate Professor, Tsinghua University, Beijing, P.R. ChinaVerified email at mail.tsinghua.edu.cn
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of HongVerified email at cuhk.edu.hk

Guang-Bin Huang

Full Professor, Nanyang Technological University, Singapore

Verified email at ntu.edu.sg - Homepage

Machine Learning Neural Networks Neuroscience


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Extreme learning machine: theory and applications GB Huang, QY Zhu, CK Siew Neurocomputing 70 (1-3), 489-501, 2006	10088	2006
Extreme learning machine for regression and multiclass classification GB Huang, H Zhou, X Ding, R Zhang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011	4697	2011
Extreme learning machine: a new learning scheme of feedforward neural networks GB Huang, QY Zhu, CK Siew 2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004	3860	2004
Universal approximation using incremental constructive feedforward networks with random hidden nodes GB Huang, L Chen, CK Siew IEEE Trans. Neural Networks 17 (4), 879-892, 2006	2388	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2 (2), 107-122, 2011	1790	2011
A fast and accurate online sequential learning algorithm for feedforward networks NY Liang, GB Huang, P Saratchandran, N Sundararajan IEEE Transactions on neural networks 17 (6), 1411-1423, 2006	1788	2006
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	1251	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1127	2007
Extreme learning machine for multilayer perceptron J Tang, C Deng, GB Huang IEEE transactions on neural networks and learning systems 27 (4), 809-821, 2015	961	2015
Enhanced random search based incremental extreme learning machine GB Huang, L Chen Neurocomputing 71 (16-18), 3460-3468, 2008	926	2008
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	861	2010
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive Computation 6 (3), 376-390, 2014	801	2014
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	756	2005
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation GB Huang, P Saratchandran, N Sundararajan IEEE transactions on neural networks 16 (1), 57-67, 2005	753	2005
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE transactions on neural networks 14 (2), 274-281, 2003	704	2003
Error minimized extreme learning machine with growth of hidden nodes and incremental learning G Feng, GB Huang, Q Lin, R Gay IEEE Transactions on Neural Networks 20 (8), 1352-1357, 2009	649	2009
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	568	2013
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions GB Huang, HA Babri IEEE transactions on neural networks 9 (1), 224-229, 1998	546	1998
Representational learning with ELMs for big data LLC Kasun, H Zhou, GB Huang, CM Vong	528	2013
What are extreme learning machines? Filling the gap between Frank Rosenblatt’s dream and John von Neumann’s puzzle GB Huang Cognitive Computation 7 (3), 263-278, 2015	465	2015

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