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Meta-Learning in Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169

2022

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Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1088-1103

2019

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IEEE_Xplore

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

2020

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IEEE_Xplore

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

2018

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IEEE_Xplore

Cost-Effective Active Learning for Deep Image Classification

IEEE transactions on circuits and systems for video technology, 2017-12, Vol.27 (12), p.2591-2600

2017

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IEEE_Xplore

Representation Learning: A Review and New Perspectives

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1798-1828

2013

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IEEE_Xplore

Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.2387-2402

2021

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Universal Approximation Capability of Broad Learning System and Its Structural Variations

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1191-1204

2019

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IEEE_Xplore

Learning without Forgetting

IEEE transactions on pattern analysis and machine intelligence, 2018-12, Vol.40 (12), p.2935-2947

2018

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IEEE_Xplore

Machine Learning Methods for Attack Detection in the Smart Grid

IEEE transaction on neural networks and learning systems, 2016-08, Vol.27 (8), p.1773-1786

2016

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IEEE_Xplore

Modeling adaptive E-Learning environment using facial expressions and fuzzy logic

Expert systems with applications, 2020-11, Vol.157, p.113460, Article 113460

2020

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Kernel-Based Multilayer Extreme Learning Machines for Representation Learning

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.757-762

2018

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IEEE_Xplore

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1741-1754

2019

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IEEE_Xplore

Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.2598-2610

2021

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IEEE_Xplore

Discriminative Deep Metric Learning for Face and Kinship Verification

IEEE transactions on image processing, 2017-09, Vol.26 (9), p.4269-4282

2017

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IEEE_Xplore

Constrained Deep Weak Supervision for Histopathology Image Segmentation

IEEE transactions on medical imaging, 2017-11, Vol.36 (11), p.2376-2388

2017

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IEEE_Xplore

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions

IEEE access, 2022, Vol.10, p.1-1

2022

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Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-19

2022

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IEEE_Xplore

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

IEEE transactions on smart grid, 2020-07, Vol.11 (4), p.3008-3018

2020

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IEEE_Xplore

Evolutionary Cost-Sensitive Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2017-12, Vol.28 (12), p.3045-3060

2017

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IEEE_Xplore

A Continual Learning Survey: Defying Forgetting in Classification Tasks

IEEE transactions on pattern analysis and machine intelligence, 2022-07, Vol.44 (7), p.3366-3385

2022

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IEEE_Xplore

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.601-614

2019

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IEEE_Xplore

A Comprehensive Survey on Graph Neural Networks

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

2021

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IEEE_Xplore

UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

IEEE journal of solid-state circuits, 2019-01, Vol.54 (1), p.173-185

2019

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IEEE_Xplore

Deep Recurrent Neural Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2017-07, Vol.55 (7), p.3639-3655

2017

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Meta-Learning in Neural Networks: A Survey

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Cost-Effective Active Learning for Deep Image Classification

Representation Learning: A Review and New Perspectives

Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

Universal Approximation Capability of Broad Learning System and Its Structural Variations

Learning without Forgetting

Machine Learning Methods for Attack Detection in the Smart Grid

Modeling adaptive E-Learning environment using facial expressions and fuzzy logic

Kernel-Based Multilayer Extreme Learning Machines for Representation Learning

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

Discriminative Deep Metric Learning for Face and Kinship Verification

Constrained Deep Weak Supervision for Histopathology Image Segmentation

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions

Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

Evolutionary Cost-Sensitive Extreme Learning Machine

A Continual Learning Survey: Defying Forgetting in Classification Tasks

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

A Comprehensive Survey on Graph Neural Networks

UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

Deep Recurrent Neural Networks for Hyperspectral Image Classification

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