Guang-Bin Huang

发表

Dimension Reduction With Extreme Learning Machine

Yan Yang, Zhengyou Zhang, Liyanaarachchi Lekamalage Chamara Kasun, 2016, IEEE Transactions on Image Processing.

Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC

Liang-Tien Chia, Guang-Bin Huang, Shangbo Mao, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Time constrain optimal method to find the minimum architectures for feedforward neural networks

Guang-Bin Huang, Teck-Sun Tan, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Investigation on driver stress utilizing ECG signals with on-board navigation systems in use

Zhiping Lin, Zhan Yang, Guang-Bin Huang, 2016, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, Int. J. Neural Syst..

Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM

Guang-Bin Huang, Yijie Zeng, Jichao Chen, 2020, Neurocomputing.

A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics

Guang-Bin Huang, Wan-Yu Deng, Zuo Bai, 2016, Neural Networks.

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2006, Fuzzy Sets Syst..

An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction

Nan Liu, Zhiping Lin, Wee Ser, 2012, IEEE Transactions on Information Technology in Biomedicine.

Hierarchical Extreme Learning Machine for unsupervised representation learning

Jun Miao, Laiyun Qing, Guang-Bin Huang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems

Fuchun Sun, Q. M. Jonathan Wu, Guang-Bin Huang, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Advances in extreme learning machines (ELM2014)

Amaury Lendasse, Chi-Man Vong, Guang-Bin Huang, 2011, Neurocomputing.

Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder

Guang-Bin Huang, Shangbo Mao, Dongshun Cui, 2018, ELM.

Systemical convergence rate analysis of convex incremental feedforward neural networks

Hung Keng Pung, Lei Chen, Guang-Bin Huang, 2009, Neurocomputing.

Elmnet: Feature learning using extreme learning machines

Wei Han, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Optimization method based extreme learning machine for classification

Hongming Zhou, Guang-Bin Huang, Xiaojian Ding, 2010, Neurocomputing.

Furnace Temperature Modeling for Continuous Annealing Process Based on Generalized Growing and Pruning RBF Neural Network

Qing Chen, Shaoyuan Li, Yugeng Xi, 2004, ISNN.

Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity

Olga Sourina, Guang-Bin Huang, Haoqi Sun, 2016, Neural Computation.

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks

De-Shuang Huang, Fei Han, Yiu-ming Cheung, 2005, ISNN.

Extreme Learning Machine for Clustering

Zhiping Lin, Yan Yang, Guang-Bin Huang, 2015 .

Patient Outcome Prediction with Heart Rate Variability and Vital Signs

Nan Liu, Zhiping Lin, Wee Ser, 2011, J. Signal Process. Syst..

Random feature subspace ensemble based Extreme Learning Machine for liver tumor detection and segmentation

Zhiping Lin, Wei Xiong, Weimin Huang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Detection of Drivers’ Distraction Using Semi-Supervised Extreme Learning Machine

Zhiping Lin, Yan Yang, Guang-Bin Huang, 2015 .

A novel NMF-based image quality assessment metric using extreme learning machine

Weisi Lin, Chenwei Deng, Guang-Bin Huang, 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing.

Credit risk evaluation with extreme learning machine

Hongming Zhou, Yuan Lan, Yeng Chai Soh, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Extreme learning machine: RBF network case

Chee Kheong Siew, Guang-Bin Huang, C. Siew, 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

Deformable and Occluded Object Tracking via Graph Learning

Wei Han, Guang-Bin Huang, Dongshun Cui, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Robust Extreme Learning Machine With its Application to Indoor Positioning

Han Zou, Lihua Xie, Hongming Zhou, 2016, IEEE Transactions on Cybernetics.

Sparse Extreme Learning Machine for Classification

Danwei Wang, Han Wang, Guang-Bin Huang, 2014, IEEE Transactions on Cybernetics.

Taste Recognition in E-Tongue Using Local Discriminant Preservation Projection

Tao Liu, Lei Zhang, Xiaoheng Tan, 2019, IEEE Transactions on Cybernetics.

Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning

Meng Joo Er, Guang-Bin Huang, Zhifei Shao, 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).

Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay

Huaguang Zhang, Zhanshan Wang, Guang-Bin Huang, 2010, IEEE Transactions on Neural Networks.

Liver tumor detection and segmentation using kernel-based extreme learning machine

Zhiping Lin, Ning Li, Weimin Huang, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Trends in extreme learning machines: A review

Guang-Bin Huang, Gao Huang, Shiji Song, 2015, Neural Networks.

Simultaneously learning affinity matrix and data representations for machine fault diagnosis

Yue Li, Guang-Bin Huang, Tianchi Liu, 2020, Neural Networks.

Incremental extreme learning machine with fully complex hidden nodes

Chee Kheong Siew, Lei Chen, Guang-Bin Huang, 2008, Neurocomputing.

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Silicon spiking neurons for hardware implementation of extreme learning machines

Hongming Zhou, Arindam Basu, Guang-Bin Huang, 2013, Neurocomputing.

Self-Adaptive Evolutionary Extreme Learning Machine

Zhiping Lin, Guang-Bin Huang, Jiuwen Cao, 2012, Neural Processing Letters.

Multiple kernel extreme learning machine

Lei Wang, Xinwang Liu, Jianping Yin, 2015, Neurocomputing.

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]

Bernard Widrow, Zongben Xu, Erik Cambria, 2015, IEEE Comput. Intell. Mag..

R-ELMNet: Regularized extreme learning machine network

Guang-Bin Huang, Shangbo Mao, Guanghao Zhang, 2020, Neural Networks.

Patient classification based on pre-hospital heart rate variability

Zhiping Lin, Guang-Bin Huang, Marcus Eng Hock Ong, 2008, APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems.

Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II

De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang, 2005 .

Computation using mismatch: Neuromorphic extreme learning machines

Shaista Hussain, Arindam Basu, Guang-Bin Huang, 2013, 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Extreme Learning Machine for Regression and Multiclass Classification

Hongming Zhou, Guang-Bin Huang, Xiaojian Ding, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

QoS provisioning using IPv6 flow label in the Internet

Guang-Bin Huang, Chee-Kheong Siew, X. Tang, 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

Extreme learning machines: new trends and applications

Jia Xu, Chenwei Deng, Guang-Bin Huang, 2014, Science China Information Sciences.

Advances in extreme learning machines (ELM2012)

Amaury Lendasse, Qing He, Guang-Bin Huang, 2014, Neurocomputing.

Random search enhancement of error minimized extreme learning machine

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2010, ESANN.

Face recognition using total loss function on face database with ID photos

Kai Hu, Wei Han, Guang-Bin Huang, 2017, Optics & Laser Technology.

ProteinSequence Classification UsingExtreme Learning Machine

Dianhui Wang, Guang-Bin Huang, 2005 .

Towards an intelligent framework for multimodal affective data analysis

Erik Cambria, Amir Hussain, Guang-Bin Huang, 2015, Neural Networks.

Error tolerance based support vector machine for regression

Yan Chen, Guoqi Li, Changyun Wen, 2011, Neurocomputing.

Enhanced random search based incremental extreme learning machine

Lei Chen, Guang-Bin Huang, G. Huang, 2008, Neurocomputing.

Fusing audio, visual and textual clues for sentiment analysis from multimodal content

Erik Cambria, Amir Hussain, Newton Howard, 2016, Neurocomputing.

Guest editorial: Special issue on Extreme learning machine and applications (I)

Zhihong Man, Guang-Bin Huang, 2015, Neural Computing and Applications.

Classifying protein sequences using hydropathy blocks

Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, 2006, Pattern Recognit..

Advances in extreme learning machines (ELM2014)

Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, 2011, Neurocomputing.

Voting based extreme learning machine

Nan Liu, Zhiping Lin, Guang-Bin Huang, 2012, Inf. Sci..

Extreme Learning Machine for Multilayer Perceptron

Guang-Bin Huang, Chenwei Deng, Jiexiong Tang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

A Recursive Growing and Pruning RBF (GAP-RBF) Algorithm for Function Approximations

N. Sundararajan, Guang-Bin Huang, P. Saratchandran, 2003, 2003 4th International Conference on Control and Automation Proceedings.

Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification

Guang-Bin Huang, Siqi Wang, Yijie Zeng, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Real-Time Learning Algorithm for Two-Hidden-Layer Feedforward Networks

Guang-Bin Huang, Chee-Kheong Siew, Qin-Yu Zhu, 2003, 2003 4th International Conference on Control and Automation Proceedings.

Extreme learning machine: Theory and applications

Chee Kheong Siew, Guang-Bin Huang, Qin-Yu Zhu, 2006, Neurocomputing.

A low-dimensional vector representation for words using an extreme learning machine

Amaury Lendasse, Paula Lauren, Guangzhi Qu, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Classification ability of single hidden layer feedforward neural networks

Guang-Bin Huang, Yan Qiu Chen, Haroon Atique Babri, 2000, IEEE Trans. Neural Networks Learn. Syst..

Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine

Yuan Zhang, Kai Hu, Guang-Bin Huang, 2017, CCCV.

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining pdf

Lily Rachmawati, Guang-Bin Huang, Shangbo Mao, 2016, ArXiv.

A theoretical study of the relationship between an ELM network and its subnetworks

Lily Rachmawati, Guang-Bin Huang, Shangbo Mao, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Sparse Extreme Learning Machine for Regression

Danwei Wang, Guang-Bin Huang, Zuo Bai, 2016 .

A fast modular implementation for neural networks

Chee Kheong Siew, Guang-Bin Huang, Qin-Yu Zhu, 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category classification

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Evolutionary extreme learning machine

A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang, 2005, Pattern Recognit..

Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control

Huaguang Zhang, Tiedong Ma, Zhiliang Wang, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network

Qing Chen, Shaoyuan Li, Guang-Bin Huang, 2006, Neurocomputing.

Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine

Zhiping Lin, Guang-Bin Huang, Jiuwen Cao, 2011, Neural Processing Letters.

Fast Modular network implementation for support vector machines

Chee Kheong Siew, De-Shuang Huang, Guang-Bin Huang, 2005, IEEE Transactions on Neural Networks.

Estimating vigilance from EEG using manifold clustering guided by instantaneous lapse rate

Yan Yang, Olga Sourina, Guang-Bin Huang, 2015, 2015 10th International Conference on Information, Communications and Signal Processing (ICICS).

Reply to “Comments on “The Extreme Learning Machine””

Guang-Bin Huang, G. Huang, 2008, IEEE Transactions on Neural Networks.

Comments on "Approximation capability in C(Rn) by multilayer feedforward networks and related problems"

Guang-Bin Huang, Haroon Atique Babri, 1998, IEEE Trans. Neural Networks.

Extended sequential adaptive fuzzy inference system for classification problems

N. Sundararajan, Guang-Bin Huang, Hai-Jun Rong, 2011, Evol. Syst..

Deep and wide feature based extreme learning machine for image classification

Guang-Bin Huang, Yijie Zeng, Yuanyuan Qing, 2020, Neurocomputing.

An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Extreme learning machine: a new learning scheme of feedforward neural networks

Guang-Bin Huang, Chee-Kheong Siew, Qin-Yu Zhu, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Excerpts of research in brain sciences and neural networks in Singapore

Meng Joo Er, Lipo Wang, Guang-Bin Huang, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Quantitative Analysis of Gas Phase IR Spectra Based on Extreme Learning Machine Regression Model

Guang-Bin Huang, Bo Liedberg, Boris Mizaikoff, 2019, Sensors.

Ensemble of online sequential extreme learning machine

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2009, Neurocomputing.

Guest editorial: Special issue on Extreme learning machine and applications (II)

Zhihong Man, Guang-Bin Huang, 2015, Neural Computing and Applications.

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, ISNN.

Large scale wireless indoor localization by clustering and Extreme Learning Machine

Peidong Liu, Wendong Xiao, Guang-Bin Huang, 2012, 2012 15th International Conference on Information Fusion.

Multifeature Extreme Ordinal Ranking Machine for Facial Age Estimation

Wei Zhao, Han Wang, Guang-Bin Huang, 2015 .

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

Guang-Bin Huang, G. Huang, 2014, Cognitive Computation.

Neuron selection for RBF neural network classifier based on data structure preserving criterion

Guang-Bin Huang, Ke Zhi Mao, 2005, IEEE Transactions on Neural Networks.

Advances in extreme learning machines (ELM2014)

Dianhui Wang, Guang-Bin Huang, Dianhui Wang, 2011, Neurocomputing.

Extreme Learning Machines [Trends & Controversies]

Victor C. M. Leung, Qiang Liu, Jianping Yin, 2013, IEEE Intelligent Systems.

Fully complex extreme learning machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Neurocomputing.

Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions

Guang-Bin Huang, Haroon Atique Babri, G. Huang, 1998, IEEE Trans. Neural Networks.

Fast Construction of Single-Hidden-Layer Feedforward Networks

Shuzhi Sam Ge, Kang Li, Guang-Bin Huang, 2012, Handbook of Natural Computing.

Face recognition based on extreme learning machine

Guang-Bin Huang, Weiwei Zong, G. Huang, 2011, Neurocomputing.

Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine

Baojun Zhao, Chenwei Deng, Paula Lauren, 2016, IEEE Geoscience and Remote Sensing Letters.

Adaptive fuzzy fault-tolerant controller for aircraft autolanding under failures

Guang-Bin Huang, Hai-Jun Rong, P. Saratchandran, 2007, IEEE Transactions on Aerospace and Electronic Systems.

Gradient-based no-reference image blur assessment using extreme learning machine

Baojun Zhao, Chenwei Deng, Guang-Bin Huang, 2016, Neurocomputing.

Multi layer multi objective extreme learning machine

Kang Song, Guang-Bin Huang, Dongshun Cui, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images

De-Shuang Huang, Jiming Liu, Zhan-Li Sun, 2005, IEEE Geosci. Remote. Sens. Lett..

Convex incremental extreme learning machine

Guang-Bin Huang, Lei Chen, G. Huang, 2007, Neurocomputing.

Cluster Regularized Extreme Learning Machine for Detecting Mixed-Type Distraction in Driving

Yan Yang, Zhiping Lin, Guang-Bin Huang, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Data Driven Convolutional Sparse Coding for Visual Recognition

Guang-Bin Huang, Yijie Zeng, Jichao Chen, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning capability and storage capacity of two-hidden-layer feedforward networks

Guang-Bin Huang, G. Huang, 2003, IEEE Trans. Neural Networks.

Improvements to the Conventional Layer-by-Layer BP Algorithm

Michael R. Lyu, Tat-Ming Lok, Fei Han, 2005, ICIC.

Robust Real-time Face Tracking for People Wearing Face Masks

Haizhou Li, Guang-Bin Huang, Zhiping Lin, 2020, 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Voting base online sequential extreme learning machine for multi-class classification

Zhiping Lin, Guang-Bin Huang, Jiuwen Cao, 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

Two-stage extreme learning machine for regression

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2010, Neurocomputing.

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks

Amaury Lendasse, Paula Lauren, Guangzhi Qu, 2018, Cognitive Computation.

An adaptive graph learning method based on dual data representations for clustering

Zhiping Lin, Guang-Bin Huang, Chamara Kasun Liyanaarachchi Lekamalage, 2018, Pattern Recognit..

Global Convergence of Online BP Training With Dynamic Learning Rate

Dianhui Wang, Zongben Xu, Guang-Bin Huang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

EmoSenticSpace: A novel framework for affective common-sense reasoning

Erik Cambria, Alexander F. Gelbukh, Amir Hussain, 2014, Knowl. Based Syst..

Extreme learning machine for multi-categories classification applications

Yew-Soon Ong, Guang-Bin Huang, Hai-Jun Rong, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Ordering of Self-Organizing Maps in Multidimensional Cases

Guang-Bin Huang, Haroon Atique Babri, Hua-Tian Li, 1998, Neural Computation.

Online Sequential Learning based on Enhanced Extreme Learning Machine using Left or Right Pseudo-inverse

Yuan Lan, Guang-Bin Huang, Weiwei Zong, 2012, ICPRAM.

A constructive enhancement for Online Sequential Extreme Learning Machine

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2009, 2009 International Joint Conference on Neural Networks.

Protein sequence classification using extreme learning machine

Dianhui Wang, Guang-Bin Huang, G. Huang, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes

Chee Kheong Siew, Lei Chen, Guang-Bin Huang, 2006, IEEE Transactions on Neural Networks.

Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine

Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, Zuo Bai, 2015, INNS Conference on Big Data.

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology

Lily Rachmawati, Guang-Bin Huang, Enmei Tu, 2016, IEEE Transactions on Intelligent Transportation Systems.

Learning to Rank with Extreme Learning Machine

Guang-Bin Huang, Weiwei Zong, 2013, Neural Processing Letters.

What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

Guang-Bin Huang, G. Huang, 2015, Cognitive Computation.

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks pdf

Lily Rachmawati, Guang-Bin Huang, Enmei Tu, 2016, ArXiv.

Driver Workload Detection in On-Road Driving Environment Using Machine Learning

Olga Sourina, Yan Yang, Guang-Bin Huang, 2015 .

Dimension Reduction by Minimum Error Minimax Probability Machine

Yuli Zhang, Guang-Bin Huang, Gao Huang, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An extreme learning machine approach for speaker recognition

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2012, Neural Computing and Applications.

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes

Zongben Xu, Yuan Lan, Guang-Bin Huang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Real-time learning capability of neural networks

Chee Kheong Siew, Guang-Bin Huang, Qin-Yu Zhu, 2006, IEEE Trans. Neural Networks.

Effective visual tracking by pairwise metric learning

Baojun Zhao, Weisi Lin, Chenwei Deng, 2017, Neurocomputing.

Target Coding for Extreme Learning Machine

Kai Hu, Wei Han, Guang-Bin Huang, 2017 .

Can threshold networks be trained directly?

Chee Kheong Siew, Narasimhan Sundararajan, Paramasivan Saratchandran, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

Discrete Wavelet Transform coefficients for emotion recognition from EEG signals

Wee Ser, Guang-Bin Huang, Rendi E. J. Yohanes, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic extraction of HRV sequences from noisy ECG data for reliable analysis and telediagnosis

Guang-Bin Huang, Zhiping Lin, Marcus Eng Hock Ong, 2007 .

Terrain Modeling Using Machine Learning Methods

Guang-Bin Huang, Meng-Hiot Lim, Chee-Wee Thomas Yeu, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

SUPPORTING LARGE-SCALE COLLABORATIVE VIRTUAL ENVIRONMENT IN GRID

Liang Zhang, Guorui Feng, Qingping Lin, 2007, Grid 2007.

Extreme learning machines for intrusion detection

Chi Cheng, Guang-Bin Huang, Wee Peng Tay, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Advances in extreme learning machines (ELM2014)

Dianhui Wang, Guang-Bin Huang, Dianhui Wang, 2011, Neurocomputing.

Unsupervised feature selection based extreme learning machine for clustering

Guang-Bin Huang, Yijie Zeng, Jichao Chen, 2020, Neurocomputing.

On-Line Sequential Extreme Learning Machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Computational Intelligence.

Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning

Robert K. L. Gay, Guorui Feng, Qingping Lin, 2009, IEEE Transactions on Neural Networks.

Hierarchical extreme learning machines

Q. M. Jonathan Wu, Guang-Bin Huang, Donald C. Wunsch, 2018, Neurocomputing.

A new machine learning paradigm for terrain reconstruction

Amit Agarwal, Yew-Soon Ong, Guang-Bin Huang, 2006, IEEE Geoscience and Remote Sensing Letters.

Dynamic Extreme Learning Machine and Its Approximation Capability

Zongben Xu, Yuan Lan, Yeng Chai Soh, 2013, IEEE Transactions on Cybernetics.

Conditional Random Mapping for Effective ELM Feature Representation

Baojun Zhao, Cheng Li, Chenwei Deng, 2018, Cognitive Computation.

Novel Delay-Dependent Robust Stability Analysis for Switched Neutral-Type Neural Networks With Time-Varying Delays via SC Technique

Huaguang Zhang, Guang-Bin Huang, Zhenwei Liu, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A fast learning algorithm for multi-layer extreme learning machine

Chenwei Deng, Junhui Hou, Guang-Bin Huang, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Sentic patterns: Dependency-based rules for concept-level sentiment analysis

Erik Cambria, Guang-Bin Huang, Soujanya Poria, 2014, Knowl. Based Syst..

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, IEEE Transactions on Neural Networks.

Large-Scale Automated Sleep Staging

Olga Sourina, Guang-Bin Huang, Haoqi Sun, 2017, Sleep.

A fast constructive learning algorithm for single-hidden-layer neural networks

Chee Kheong Siew, Guang-Bin Huang, Qin-Yu Zhu, 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, IEEE Transactions on Neural Networks.

New Trends of Learning in Computational Intelligence [Guest Editorial]

Bernard Widrow, Zongben Xu, Erik Cambria, 2015, IEEE Comput. Intell. Mag..

Driver Drowsiness Detection Based on Novel Eye Openness Recognition Method and Unsupervised Feature Learning

Yan Yang, Olga Sourina, Wei Han, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Special issue on extreme learning machine and deep learning networks

Zhihong Man, Guang-Bin Huang, 2020, Neural Computing and Applications.

Self-adjustment of neuron impact width in growing and pruning RBF (GAP-RBF) neuron networks

Paramasivan Saratchandran, Guang-Bin Huang, Y. Wang, 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

A semi-automatic approach to the segmentation of liver parenchyma from 3D CT images with Extreme Learning Machine

Yi Su, Zhiping Lin, Weimin Huang, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Fast Modular Network Implementation for Support

Guang-Bin Huang, Kezhi Mao, Chee-Kheong Siew, 2005 .

Stacked Extreme Learning Machines

Hongming Zhou, Han Wang, Zhiping Lin, 2015, IEEE Transactions on Cybernetics.

Performance Evaluation of GAP-RBF Network in Channel Equalization

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Neural Processing Letters.

Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine

Baojun Zhao, Chenwei Deng, Guang-Bin Huang, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Smile detection using Pair-wise Distance Vector and Extreme Learning Machine

Guang-Bin Huang, Dongshun Cui, Tianchi Liu, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Extreme Learning Machine based fast object recognition

Hongming Zhou, Guang-Bin Huang, Jiantao Xu, 2012, 2012 15th International Conference on Information Fusion.

Extreme Learning Machine based bacterial protein subcellular localization prediction

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

An efficient sequential RBF network for bio-medical classification problems

Guang-Bin Huang, P. Saratchandran, N. Sundararajan, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Extreme learning machines: a survey

Dianhui Wang, Yuan Lan, Guang-Bin Huang, 2011, Int. J. Mach. Learn. Cybern..

Blind Noisy Image Quality Assessment Using Sub-Band Kurtosis

Baojun Zhao, Chenwei Deng, Guang-Bin Huang, 2020, IEEE Transactions on Cybernetics.

Composite function wavelet neural networks with extreme learning machine

Zhiping Lin, Guang-Bin Huang, Jiuwen Cao, 2010, Neurocomputing.

Constructive hidden nodes selection of extreme learning machine for regression

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2010, Neurocomputing.

Face Recognition Benchmark with ID Photos

Kai Hu, Wei Han, Guang-Bin Huang, 2018 .

Two-stage structured learning approach for stable occupancy detection

Zhiping Lin, Yue Li, Shih-Hsiang Lin, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis

Yan Yang, Olga Sourina, Guang-Bin Huang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Learning local discriminative representations via extreme learning machine for machine fault diagnosis

Guang-Bin Huang, Yijie Zeng, Yue Li, 2020, Neurocomputing.

Introduction to Extreme Learning Machines

Guang-Bin Huang, G. Huang, 2006 .

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

Jian Yang, David Zhang, Lei Zhang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Methods of Decreasing the Number of Support Vectors via k-Mean Clustering

Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang, 2005, ICIC.

Improved GAP-RBF network for classification problems

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2007, Neurocomputing.

Driver Distraction Detection Using Semi-Supervised Machine Learning

Yan Yang, Zhiping Lin, Guang-Bin Huang, 2016, IEEE Transactions on Intelligent Transportation Systems.

Local Receptive Fields Based Extreme Learning Machine

Chi-Man Vong, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, 2015, IEEE Computational Intelligence Magazine.

Extreme Learning Machine for Joint Embedding and Clustering

Zhiping Lin, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang, 2018, Neurocomputing.

Weighted extreme learning machine for imbalance learning

Yiqiang Chen, Guang-Bin Huang, Weiwei Zong, 2013, Neurocomputing.

Extreme Learning Machine with Adaptive Growth of Hidden Nodes and Incremental Updating of Output Weights

Yuan Lan, Yeng Chai Soh, Guang-Bin Huang, 2011, AIS.

Time series study of GGAP-RBF network: predictions of Nasdaq stock and nitrate contamination of drinking water

Ying Wang, Guang-Bin Huang, P. Saratchandran, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

ELM based smile detection using Distance Vector

Guang-Bin Huang, Dongshun Cui, Tianchi Liu, 2018, Pattern Recognit..

Simplification of a specific two-hidden-layer feedforward networks

Guang-Bin Huang, Chee-Kheong Siew, Lihui Chen, 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

NMF-Based Image Quality Assessment Using Extreme Learning Machine

Baojun Zhao, Weisi Lin, Chenwei Deng, 2017, IEEE Transactions on Cybernetics.

Face Recognition Based on Kernelized Extreme Learning Machine

Hongming Zhou, Zhiping Lin, Guang-Bin Huang, 2011, AIS.

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Advances in extreme learning machines (ELM2014)

Amaury Lendasse, Qing He, Guang-Bin Huang, 2011, Neurocomputing.

ELM embedded discriminative dictionary learning for image classification

Yue Li, Guang-Bin Huang, Jichao Chen, 2019, Neural Networks.

Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis

Yue Li, Guang-Bin Huang, Chamara Kasun Liyanaarachchi Lekamalage, 2020, IEEE Transactions on Industrial Electronics.

Content-Insensitive Blind Image Blurriness Assessment Using Weibull Statistics and Sparse Extreme Learning Machine

Chenwei Deng, Guang-Bin Huang, Weisi Lin, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Introduction to the special issue on deep reinforcement learning: An editorial

Gerald Tesauro, David Silver, Guang-Bin Huang, 2018, Neural Networks.

Slice-Based Online Convolutional Dictionary Learning

Guang-Bin Huang, Yijie Zeng, Jichao Chen, 2019, IEEE Transactions on Cybernetics.

Dual distance adaptive multiview clustering

Guang-Bin Huang, Jichao Chen, 2021, Neurocomputing.

End-to-end novel visual categories learning via auxiliary self-supervision

Guang-Bin Huang, Yijie Zeng, Yuanyuan Qing, 2021, Neural Networks.

Label propagation via local geometry preserving for deep semi-supervised image recognition

Guang-Bin Huang, Yuanyuan Qing, Yijie Zeng, 2021, Neural Networks.

Mahalanobis Ellipsoidal Learning Machine for One Class Classification

Guang-Bin Huang, G. Huang, Xun-Kai Wei, 2007, 2007 International Conference on Machine Learning and Cybernetics.

FUZZY EXTREME LEARNING MACHINE FOR A CLASS OF FUZZY INFERENCE SYSTEMS

Guang-Bin Huang, Hai-Jun Rong, Yong-Qi Liang, 2013 .

GenELM: Generative Extreme Learning Machine feature representation

Baojun Zhao, Chenwei Deng, Guang-Bin Huang, 2019, Neurocomputing.

Complex-valued growing and pruning rbf neural networks for communication channel equalisation

N. Sundararajan, Guang-Bin Huang, P. Saratchandran, 2006 .

General approximation theorem on feedforward networks

H. A. Babri, Guang-Bin Huang, G. Huang, 1997, Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat..