Guang-Bin Huang

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Sundararajan NRetd. Prof EEE, NTU, SingaporeDirección de correo verificada de ntu.edu.sg
Erik CambriaAssociate Professor, NTU SingaporeDirección de correo verificada de ntu.edu.sg
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignDirección de correo verificada de sutd.edu.sg
Jiexiong TangKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Cao JiuwenProfessor of Institute of Information and Control, Hangzhou Dianzi University, ChinaDirección de correo verificada de hdu.edu.cn
Weiwei ZongHenry Ford Health SystemDirección de correo verificada de hfhs.org
Huaguang ZhangNortheastern University, ChinaDirección de correo verificada de mail.neu.edu.cn
chi man vongUniversity of MacauDirección de correo verificada de umac.mo
De-Shuang HuangInstitute of Machine Learning and Systems Biology Tongji UniversityDirección de correo verificada de tongji.edu.cn
Nan LIU, PhDDuke-NUS Medical SchoolDirección de correo verificada de duke-nus.edu.sg
Kai (Alex) QinSwinburne University of TechnologyDirección de correo verificada de swin.edu.au
Feng GuoruiShanghai UniversityDirección de correo verificada de shu.edu.cn
Yew-Soon OngProfessor of Computer Science, IEEE FellowDirección de correo verificada de ntu.edu.sg
Arindam BasuProfessor, City University of Hong Kong (past Associate Professor of EEE at NTU)Dirección de correo verificada de cityu.edu.hk
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Guoqi LiAssociate Professor, Tsinghua University, Beijing, P.R. ChinaDirección de correo verificada de mail.tsinghua.edu.cn
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of HongDirección de correo verificada de cuhk.edu.hk

Guang-Bin Huang

Full Professor, Nanyang Technological University, Singapore

Dirección de correo verificada de ntu.edu.sg - Página principal

Machine Learning Neural Networks Neuroscience


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Extreme learning machine: theory and applications GB Huang, QY Zhu, CK Siew Neurocomputing 70 (1-3), 489-501, 2006	10575	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	4900	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	4022	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	2445	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	1864	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2 (2), 107-122, 2011	1847	2011
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	1328	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1138	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	1016	2015
Enhanced random search based incremental extreme learning machine GB Huang, L Chen Neurocomputing 71 (16-18), 3460-3468, 2008	939	2008
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	893	2010
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive Computation 6 (3), 376-390, 2014	835	2014
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	786	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	767	2005
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE transactions on neural networks 14 (2), 274-281, 2003	729	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	670	2009
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	591	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	566	1998
Representational learning with ELMs for big data LLC Kasun, H Zhou, GB Huang, CM Vong	549	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	484	2015

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