Guang-Bin Huang

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	Všetky	Od 2020
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Na základe mandátov na financovanie

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Sundararajan NRetd. Prof EEE, NTU, SingaporeOverená e-mailová adresa na: ntu.edu.sg
Jiexiong TangKTH Royal Institute of TechnologyOverená e-mailová adresa na: kth.se
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU SingaporeOverená e-mailová adresa na: ntu.edu.sg
Cao JiuwenDean, Professor of School of Automation, Hangzhou Dianzi University, ChinaOverená e-mailová adresa na: hdu.edu.cn
Weiwei ZongHenry Ford Health SystemOverená e-mailová adresa na: hfhs.org
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignOverená e-mailová adresa na: sutd.edu.sg
Huaguang ZhangNortheastern University, ChinaOverená e-mailová adresa na: mail.neu.edu.cn
Chi Man VONGUniversity of MacauOverená e-mailová adresa na: umac.mo
Nan LIU, PhDDuke-NUS Medical SchoolOverená e-mailová adresa na: duke-nus.edu.sg
Kai (Alex) QinIEEE Fellow, Professor, Swinburne University of TechnologyOverená e-mailová adresa na: swin.edu.au
Feng GuoruiShanghai UniversityOverená e-mailová adresa na: shu.edu.cn
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEOverená e-mailová adresa na: ntu.edu.sg
Arindam BasuProfessor, City University of Hong Kong (past Associate Professor of EEE at NTU)Overená e-mailová adresa na: cityu.edu.hk
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongOverená e-mailová adresa na: cse.cuhk.edu.hk
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityOverená e-mailová adresa na: ia.ac.cn
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of HongOverená e-mailová adresa na: cuhk.edu.hk
De-Shuang HuangInstitute of Machine Learning and Systems Biology, Eastern Institute of Technology

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Guang-Bin Huang

Full Professor, Nanyang Technological University, Singapore

Overená e-mailová adresa na: ntu.edu.sg - Domovská stránka

Machine Learning Neural Networks Neuroscience


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
Extreme learning machine: theory and applications GB Huang, QY Zhu, CK Siew Neurocomputing 70 (1-3), 489-501, 2006	15262	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	6670	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	5775	2004
Universal approximation using incremental constructive feedforward networks with random hidden nodes GB Huang, L Chen, CK Siew IEEE transactions on neural networks 17 (4), 879-892, 2006	3033	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	2373	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2, 107-122, 2011	2331	2011
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	2025	2015
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	1626	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1309	2007
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive computation 6, 376-390, 2014	1142	2014
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	1077	2010
Enhanced random search based incremental extreme learning machine GB Huang, L Chen neurocomputing 71 (16-18), 3460-3468, 2008	1063	2008
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE transactions on neural networks 14 (2), 274-281, 2003	1042	2003
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	968	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	866	2005
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	862	2013
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	780	2009
Representational learning with ELMs for big data LLC Kasun, H Zhou, GB Huang, CM Vong IEEE COMPUTER SOC10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA …, 2013	751	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	698	1998
What are extreme learning machines? Filling the gap between Frank Rosenblatt’s dream and John von Neumann’s puzzle GB Huang Cognitive Computation 7, 263-278, 2015	619	2015

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