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Extreme Learning Machine for Multilayer Perceptron

IEEE transaction on neural networks and learning systems, 2016-04, Vol.27 (4), p.809-821

2016

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

Cognitive computation, 2015-06, Vol.7 (3), p.263-278

Huang, Guang-Bin

2015

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

Cognitive computation, 2014-09, Vol.6 (3), p.376-390

Huang, Guang-Bin

2014

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Weighted extreme learning machine for imbalance learning

Neurocomputing (Amsterdam), 2013-02, Vol.101, p.229-242

2013

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Trends in extreme learning machines: A review

Neural networks, 2015-01, Vol.61, p.32-48

2015

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

IEEE transactions on intelligent transportation systems, 2018-05, Vol.19 (5), p.1559-1582

2018

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

IEEE transactions on geoscience and remote sensing, 2015-03, Vol.53 (3), p.1174-1185

2015

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

Neurocomputing (Amsterdam), 2016-01, Vol.174, p.50-59

2016

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Representational Learning with ELMs for Big Data

IEEE intelligent systems, 2013-11, Vol.28 (6), p.31-34

2013

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Optimization method based extreme learning machine for classification

Neurocomputing (Amsterdam), 2010-12, Vol.74 (1), p.155-163

2010

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Enhanced random search based incremental extreme learning machine

Neurocomputing (Amsterdam), 2008-10, Vol.71 (16), p.3460-3468

2008

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Extreme Learning Machine for Regression and Multiclass Classification

IEEE transactions on cybernetics, 2012-04, Vol.42 (2), p.513-529

2012

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Driver Distraction Detection Using Semi-Supervised Machine Learning

IEEE transactions on intelligent transportation systems, 2016-04, Vol.17 (4), p.1108-1120

2016

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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

IEEE transaction on neural networks and learning systems, 2019-12, Vol.30 (12), p.3759-3773

2019

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Radiomics strategy for glioma grading using texture features from multiparametric MRI

Journal of magnetic resonance imaging, 2018-12, Vol.48 (6), p.1518-1528

2018

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Convex incremental extreme learning machine

Neurocomputing (Amsterdam), 2007-10, Vol.70 (16), p.3056-3062

2007

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Dimension Reduction With Extreme Learning Machine

IEEE transactions on image processing, 2016-08, Vol.25 (8), p.3906-3918

2016

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Face recognition based on extreme learning machine

Neurocomputing (Amsterdam), 2011-09, Vol.74 (16), p.2541-2551

2011

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

Knowledge-based systems, 2014-10, Vol.69, p.45-63

2014

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

IEEE transaction on neural networks and learning systems, 2009-08, Vol.20 (8), p.1352-1357

2009

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Consensus of input-constrained periodic linear multi-agent systems by fully distributed protocols

Information sciences, 2023-09, Vol.640, p.118983, Article 118983

2023

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Towards an intelligent framework for multimodal affective data analysis

Neural networks, 2015-03, Vol.63, p.104-116

2015

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

IEEE transaction on neural networks and learning systems, 2010-01, Vol.21 (1), p.91-106

2010

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Extreme learning machine: Theory and applications

Neurocomputing (Amsterdam), 2006-12, Vol.70 (1), p.489-501

2006

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Unsupervised feature selection based extreme learning machine for clustering

Neurocomputing (Amsterdam), 2020-04, Vol.386, p.198-207

2020

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Extreme Learning Machine for Multilayer Perceptron

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

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

Weighted extreme learning machine for imbalance learning

Trends in extreme learning machines: A review

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

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

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

Representational Learning with ELMs for Big Data

Optimization method based extreme learning machine for classification

Enhanced random search based incremental extreme learning machine

Extreme Learning Machine for Regression and Multiclass Classification

Driver Distraction Detection Using Semi-Supervised Machine Learning

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

Radiomics strategy for glioma grading using texture features from multiparametric MRI

Convex incremental extreme learning machine

Dimension Reduction With Extreme Learning Machine

Face recognition based on extreme learning machine

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

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

Consensus of input-constrained periodic linear multi-agent systems by fully distributed protocols

Towards an intelligent framework for multimodal affective data analysis

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

Extreme learning machine: Theory and applications

Unsupervised feature selection based extreme learning machine for clustering

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