Guang-Bin Huang

According to our database1, Guang-Bin Huang authored at least 154 papers between 1998 and 2018.

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Bibliography

2018
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology.
IEEE Trans. Intelligent Transportation Systems, 2018

An adaptive graph learning method based on dual data representations for clustering.
Pattern Recognition, 2018

ELM based smile detection using Distance Vector.
Pattern Recognition, 2018

Introduction to the special issue on deep reinforcement learning: An editorial.
Neural Networks, 2018

Extreme Learning Machine for Joint Embedding and Clustering.
Neurocomputing, 2018

Hierarchical extreme learning machines.
Neurocomputing, 2018

Conditional Random Mapping for Effective ELM Feature Representation.
Cognitive Computation, 2018

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks.
Cognitive Computation, 2018

Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Data Driven Convolutional Sparse Coding for Visual Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Dimension Reduction by Minimum Error Minimax Probability Machine.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

NMF-Based Image Quality Assessment Using Extreme Learning Machine.
IEEE Trans. Cybernetics, 2017

Advances in extreme learning machines (ELM2015).
Neurocomputing, 2017

Effective visual tracking by pairwise metric learning.
Neurocomputing, 2017

A theoretical study of the relationship between an ELM network and its subnetworks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A low-dimensional vector representation for words using an extreme learning machine.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi layer multi objective extreme learning machine.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Elmnet: Feature learning using extreme learning machines.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deformable and Occluded Object Tracking via Graph Learning.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Extreme Learning Machine for Multilayer Perceptron.
IEEE Trans. Neural Netw. Learning Syst., 2016

Driver Distraction Detection Using Semi-Supervised Machine Learning.
IEEE Trans. Intelligent Transportation Systems, 2016

Dimension Reduction With Extreme Learning Machine.
IEEE Trans. Image Processing, 2016

Robust Extreme Learning Machine With its Application to Indoor Positioning.
IEEE Trans. Cybernetics, 2016

A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics.
Neural Networks, 2016

Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity.
Neural Computation, 2016

Guest editorial: Special issue on Extreme learning machine and applications (II).
Neural Computing and Applications, 2016

Guest editorial: Special issue on Extreme learning machine and applications (I).
Neural Computing and Applications, 2016

Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine.
IEEE Geosci. Remote Sensing Lett., 2016

Gradient-based no-reference image blur assessment using extreme learning machine.
Neurocomputing, 2016

Fusing audio, visual and textual clues for sentiment analysis from multimodal content.
Neurocomputing, 2016

Advances in extreme learning machines (ELM2014).
Neurocomputing, 2016

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks.
CoRR, 2016

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey.
CoRR, 2016

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining.
CoRR, 2016

Two-stage structured learning approach for stable occupancy detection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Smile detection using Pair-wise Distance Vector and Extreme Learning Machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Investigation on driver stress utilizing ECG signals with on-board navigation systems in use.
Proceedings of the 14th International Conference on Control, 2016

2015
Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine.
IEEE Trans. Geoscience and Remote Sensing, 2015

Stacked Extreme Learning Machines.
IEEE Trans. Cybernetics, 2015

Towards an intelligent framework for multimodal affective data analysis.
Neural Networks, 2015

Trends in extreme learning machines: A review.
Neural Networks, 2015

Multiple kernel extreme learning machine.
Neurocomputing, 2015

Advances in Extreme Learning Machines (ELM2013).
Neurocomputing, 2015

What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle.
Cognitive Computation, 2015

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial].
IEEE Comp. Int. Mag., 2015

New Trends of Learning in Computational Intelligence [Guest Editorial].
IEEE Comp. Int. Mag., 2015

Local Receptive Fields Based Extreme Learning Machine.
IEEE Comp. Int. Mag., 2015

Extreme learning machines: new trends and applications.
SCIENCE CHINA Information Sciences, 2015

Driver Drowsiness Detection Based on Novel Eye Openness Recognition Method and Unsupervised Feature Learning.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Cluster Regularized Extreme Learning Machine for Detecting Mixed-Type Distraction in Driving.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine.
Proceedings of the INNS Conference on Big Data 2015, 2015

Hierarchical Extreme Learning Machine for unsupervised representation learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Estimating vigilance from EEG using manifold clustering guided by instantaneous lapse rate.
Proceedings of the 10th International Conference on Information, 2015

2014
Sparse Extreme Learning Machine for Classification.
IEEE Trans. Cybernetics, 2014

Learning to Rank with Extreme Learning Machine.
Neural Processing Letters, 2014

EmoSenticSpace: A novel framework for affective common-sense reasoning.
Knowl.-Based Syst., 2014

Sentic patterns: Dependency-based rules for concept-level sentiment analysis.
Knowl.-Based Syst., 2014

Advances in extreme learning machines (ELM2012).
Neurocomputing, 2014

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels.
Cognitive Computation, 2014

A fast learning algorithm for multi-layer extreme learning machine.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Random feature subspace ensemble based Extreme Learning Machine for liver tumor detection and segmentation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Dynamic Extreme Learning Machine and Its Approximation Capability.
IEEE Trans. Cybernetics, 2013

An extreme learning machine approach for speaker recognition.
Neural Computing and Applications, 2013

Weighted extreme learning machine for imbalance learning.
Neurocomputing, 2013

Advances in Extreme Learning Machines (ELM2011).
Neurocomputing, 2013

Silicon spiking neurons for hardware implementation of extreme learning machines.
Neurocomputing, 2013

Extreme Learning Machines.
IEEE Intelligent Systems, 2013

Voting base online sequential extreme learning machine for multi-class classification.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Liver tumor detection and segmentation using kernel-based extreme learning machine.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A novel NMF-based image quality assessment metric using extreme learning machine.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
Fast Construction of Single-Hidden-Layer Feedforward Networks.
Proceedings of the Handbook of Natural Computing, 2012

Extreme Learning Machine for Regression and Multiclass Classification.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Netw. Learning Syst., 2012

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes.
IEEE Trans. Neural Netw. Learning Syst., 2012

An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction.
IEEE Trans. Information Technology in Biomedicine, 2012

Editorial.
Soft Comput., 2012

Self-Adaptive Evolutionary Extreme Learning Machine.
Neural Processing Letters, 2012

Voting based extreme learning machine.
Inf. Sci., 2012

Credit risk evaluation with extreme learning machine.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Extreme learning machines for intrusion detection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Online Sequential Learning based on Enhanced Extreme Learning Machine using Left or Right Pseudo-inverse.
Proceedings of the ICPRAM 2012, 2012

Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Extreme Learning Machine based fast object recognition.
Proceedings of the 15th International Conference on Information Fusion, 2012

Large scale wireless indoor localization by clustering and Extreme Learning Machine.
Proceedings of the 15th International Conference on Information Fusion, 2012

Discrete Wavelet Transform coefficients for emotion recognition from EEG signals.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Patient Outcome Prediction with Heart Rate Variability and Vital Signs.
Signal Processing Systems, 2011

Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine.
Neural Processing Letters, 2011

Extreme learning machines: a survey.
Int. J. Machine Learning & Cybernetics, 2011

Face recognition based on extreme learning machine.
Neurocomputing, 2011

Error tolerance based support vector machine for regression.
Neurocomputing, 2011

Advances in extreme learning machines (ELM2010).
Neurocomputing, 2011

Extended sequential adaptive fuzzy inference system for classification problems.
Evolving Systems, 2011

Face Recognition Based on Kernelized Extreme Learning Machine.
Proceedings of the Autonomous and Intelligent Systems - Second International Conference, 2011

Extreme Learning Machine with Adaptive Growth of Hidden Nodes and Incremental Updating of Output Weights.
Proceedings of the Autonomous and Intelligent Systems - Second International Conference, 2011

2010
Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Novel Delay-Dependent Robust Stability Analysis for Switched Neutral-Type Neural Networks With Time-Varying Delays via SC Technique.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay.
IEEE Trans. Neural Networks, 2010

Constructive hidden nodes selection of extreme learning machine for regression.
Neurocomputing, 2010

Two-stage extreme learning machine for regression.
Neurocomputing, 2010

Optimization method based extreme learning machine for classification.
Neurocomputing, 2010

Composite function wavelet neural networks with extreme learning machine.
Neurocomputing, 2010

Random search enhancement of error minimized extreme learning machine.
Proceedings of the ESANN 2010, 2010

2009
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning.
IEEE Trans. Neural Networks, 2009

Ensemble of online sequential extreme learning machine.
Neurocomputing, 2009

Systemical convergence rate analysis of convex incremental feedforward neural networks.
Neurocomputing, 2009

A constructive enhancement for Online Sequential Extreme Learning Machine.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Reply to "Comments on "The Extreme Learning Machine"".
IEEE Trans. Neural Networks, 2008

Incremental extreme learning machine with fully complex hidden nodes.
Neurocomputing, 2008

Enhanced random search based incremental extreme learning machine.
Neurocomputing, 2008

Extreme learning machine for multi-categories classification applications.
Proceedings of the International Joint Conference on Neural Networks, 2008

Extreme Learning Machine based bacterial protein subcellular localization prediction.
Proceedings of the International Joint Conference on Neural Networks, 2008

Patient classification based on pre-hospital heart rate variability.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2007
Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2007

Improved GAP-RBF network for classification problems.
Neurocomputing, 2007

Convex incremental extreme learning machine.
Neurocomputing, 2007

2006
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks.
IEEE Trans. Neural Networks, 2006

Real-time learning capability of neural networks.
IEEE Trans. Neural Networks, 2006

Universal approximation using incremental constructive feedforward networks with random hidden nodes.
IEEE Trans. Neural Networks, 2006

Can threshold networks be trained directly?
IEEE Trans. on Circuits and Systems, 2006

Classifying protein sequences using hydropathy blocks.
Pattern Recognition, 2006

A new machine learning paradigm for terrain reconstruction.
IEEE Geosci. Remote Sensing Lett., 2006

Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network.
Neurocomputing, 2006

Extreme learning machine: Theory and applications.
Neurocomputing, 2006

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine.
Int. J. Neural Syst., 2006

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.
Fuzzy Sets and Systems, 2006

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Terrain Modeling Using Machine Learning Methods.
Proceedings of the Ninth International Conference on Control, 2006

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Neuron selection for RBF neural network classifier based on data structure preserving criterion.
IEEE Trans. Neural Networks, 2005

A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation.
IEEE Trans. Neural Networks, 2005

Fast Modular network implementation for support vector machines.
IEEE Trans. Neural Networks, 2005

Evolutionary extreme learning machine.
Pattern Recognition, 2005

Performance Evaluation of GAP-RBF Network in Channel Equalization.
Neural Processing Letters, 2005

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images.
IEEE Geosci. Remote Sensing Lett., 2005

Fully complex extreme learning machine.
Neurocomputing, 2005

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Methods of Decreasing the Number of Support Vectors via k-Mean Clustering.
Proceedings of the Advances in Intelligent Computing, 2005

Improvements to the Conventional Layer-by-Layer BP Algorithm.
Proceedings of the Advances in Intelligent Computing, 2005

On-Line Sequential Extreme Learning Machine.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Furnace Temperature Modeling for Continuous Annealing Process Based on Generalized Growing and Pruning RBF Neural Network.
Proceedings of the Advances in Neural Networks, 2004

A fast modular implementation for neural networks.
Proceedings of the 8th International Conference on Control, 2004

A fast constructive learning algorithm for single-hidden-layer neural networks.
Proceedings of the 8th International Conference on Control, 2004

Extreme learning machine: RBF network case.
Proceedings of the 8th International Conference on Control, 2004

2003
Learning capability and storage capacity of two-hidden-layer feedforward networks.
IEEE Trans. Neural Networks, 2003

2000
Classification ability of single hidden layer feedforward neural networks.
IEEE Trans. Neural Netw. Learning Syst., 2000

1998
Comments on "Approximation capability in C(Rn) by multilayer feedforward networks and related problems".
IEEE Trans. Neural Networks, 1998

Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions.
IEEE Trans. Neural Networks, 1998

Ordering of Self-Organizing Maps in Multi-Dimensional Cases.
Neural Computation, 1998


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