Guang-Bin Huang

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	전체	2020년 이후
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Sundararajan NRetd. Prof EEE, NTU, Singaporentu.edu.sg의 이메일 확인됨
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU Singaporentu.edu.sg의 이메일 확인됨
Jiexiong TangKTH Royal Institute of Technologykth.se의 이메일 확인됨
Cao JiuwenDean, Professor of School of Automation, Hangzhou Dianzi University, Chinahdu.edu.cn의 이메일 확인됨
Weiwei ZongHenry Ford Health Systemhfhs.org의 이메일 확인됨
Soujanya PoriaAssistant Professor, Singapore University of Technology and Designsutd.edu.sg의 이메일 확인됨
Huaguang ZhangNortheastern University, Chinamail.neu.edu.cn의 이메일 확인됨
Chi Man VONGUniversity of Macauumac.mo의 이메일 확인됨
Nan LIU, PhDDuke-NUS Medical Schoolduke-nus.edu.sg의 이메일 확인됨
Kai (Alex) QinIEEE Fellow, Professor, Swinburne University of Technologyswin.edu.au의 이메일 확인됨
Feng GuoruiShanghai Universityshu.edu.cn의 이메일 확인됨
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEntu.edu.sg의 이메일 확인됨
Arindam BasuProfessor, City University of Hong Kong (past Associate Professor of EEE at NTU)cityu.edu.hk의 이메일 확인됨
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kongcse.cuhk.edu.hk의 이메일 확인됨
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua Universityia.ac.cn의 이메일 확인됨
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of Hongcuhk.edu.hk의 이메일 확인됨
De-Shuang HuangInstitute of Machine Learning and Systems Biology, Eastern Institute of Technology

팔로우

Guang-Bin Huang

Full Professor, Nanyang Technological University, Singapore

ntu.edu.sg의 이메일 확인됨 - 홈페이지

Machine Learning Neural Networks Neuroscience


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Extreme learning machine: theory and applications GB Huang, QY Zhu, CK Siew Neurocomputing 70 (1-3), 489-501, 2006	15523	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	6559	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	5763	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	3021	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	2362	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2, 107-122, 2011	2305	2011
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	2020	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	1619	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1291	2007
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive Computation 6, 376-390, 2014	1146	2014
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	1074	2010
Enhanced random search based incremental extreme learning machine GB Huang, L Chen neurocomputing 71 (16-18), 3460-3468, 2008	1054	2008
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE transactions on neural networks 14 (2), 274-281, 2003	1037	2003
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	963	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	865	2005
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	859	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	778	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	695	1998
Fusing audio, visual and textual clues for sentiment analysis from multimodal content S Poria, E Cambria, N Howard, GB Huang, A Hussain Neurocomputing 174, 50-59, 2016	619	2016

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