Guang-Bin Huang

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Sundararajan NRetd. Prof EEE, NTU, SingaporeVerifisert e-postadresse på ntu.edu.sg
Erik CambriaAssociate Professor, NTU SingaporeVerifisert e-postadresse på ntu.edu.sg
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignVerifisert e-postadresse på sutd.edu.sg
Jiexiong TangKTH Royal Institute of TechnologyVerifisert e-postadresse på kth.se
Cao JiuwenProfessor of Institute of Information and Control, Hangzhou Dianzi University, ChinaVerifisert e-postadresse på hdu.edu.cn
Weiwei ZongHenry Ford Health SystemVerifisert e-postadresse på hfhs.org
Huaguang ZhangNortheastern University, ChinaVerifisert e-postadresse på mail.neu.edu.cn
Chi Man VONGUniversity of MacauVerifisert e-postadresse på umac.mo
De-Shuang HuangInstitute of Machine Learning and Systems Biology Tongji UniversityVerifisert e-postadresse på tongji.edu.cn
Nan LIU, PhDDuke-NUS Medical SchoolVerifisert e-postadresse på duke-nus.edu.sg
Kai (Alex) QinSwinburne University of TechnologyVerifisert e-postadresse på swin.edu.au
Feng GuoruiShanghai UniversityVerifisert e-postadresse på shu.edu.cn
Yew-Soon OngProfessor of Computer Science, IEEE FellowVerifisert e-postadresse på ntu.edu.sg
Arindam BasuProfessor, City University of Hong Kong (past Associate Professor of EEE at NTU)Verifisert e-postadresse på cityu.edu.hk
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerifisert e-postadresse på cse.cuhk.edu.hk
Guoqi LiAssociate Professor, Tsinghua University, Beijing, P.R. ChinaVerifisert e-postadresse på mail.tsinghua.edu.cn
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of HongVerifisert e-postadresse på cuhk.edu.hk

Guang-Bin Huang

Full Professor, Nanyang Technological University, Singapore

Verifisert e-postadresse på ntu.edu.sg - Startside

Machine Learning Neural Networks Neuroscience


Tittel Sortér etter sitater Sortér etter år Sortér etter tittel	Sitert av Sitert av	År
Extreme learning machine: theory and applications GB Huang, QY Zhu, CK Siew Neurocomputing 70 (1-3), 489-501, 2006	10788	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	4974	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	4072	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	2476	2006
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	1887	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2 (2), 107-122, 2011	1863	2011
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	1360	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1145	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	1051	2015
Enhanced random search based incremental extreme learning machine GB Huang, L Chen Neurocomputing 71 (16-18), 3460-3468, 2008	946	2008
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	900	2010
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive Computation 6 (3), 376-390, 2014	850	2014
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	791	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	772	2005
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE transactions on neural networks 14 (2), 274-281, 2003	736	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	673	2009
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	600	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	574	1998
Representational learning with ELMs for big data LLC Kasun, H Zhou, GB Huang, CM Vong	560	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	492	2015

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