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Development of High-Specificity Fluorescent Probes to Enable Cannabinoid Type 2 Receptor Studies in Living Cells

Journal of the American Chemical Society, 2020-10, Vol.142 (40), p.16953-16964

2020

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Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification

IEEE transactions on cybernetics, 2021-03, Vol.51 (3), p.1586-1597

2021

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SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention

IEEE transactions on image processing, 2019-02, Vol.28 (2), p.658-672

2019

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3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation

IEEE transactions on image processing, 2019-08, Vol.28 (8), p.3986-3999

2019

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Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.10240-10253

2023

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Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System

IEEE transactions on fuzzy systems, 2023-09, Vol.31 (9), p.1-15

2023

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Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax

IEEE transactions on image processing, 2018-06, Vol.27 (6), p.3049-3063

2018

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Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.11332-11345

2024

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BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation

IEEE transactions on image processing, 2017-08, Vol.26 (8), p.3707-3720

2017

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Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation

IEEE transaction on neural networks and learning systems, 2023-06, Vol.PP, p.1-12

2023

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Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission

IEEE transactions on emerging topics in computational intelligence, 2022-12, Vol.6 (6), p.1378-1395

2022

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Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification

IEEE transactions on emerging topics in computational intelligence, 2024-02, Vol.8 (1), p.1-12

2024

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Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy

IEEE transactions on cybernetics, 2019-02, Vol.49 (2), p.481-494

2019

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DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses

Service-Oriented Computing, p.740-755

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Extreme Learning Machines [Trends & Controversies]

IEEE intelligent systems, 2013-11, Vol.28 (6), p.30-59

2013

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Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference

Engineering applications of artificial intelligence, 2006-04, Vol.19 (3), p.277-287

2006

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Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection

Transportation research. Part C, Emerging technologies, 2015-09, Vol.58, p.29-45

2015

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Development of High-Specificity Fluorescent Probes to Enable Cannabinoid Type 2 Receptor Studies in Living Cells

Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification

SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention

3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation

Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation

Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System

Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System

BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation

Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation

Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification

Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy

DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses

Extreme Learning Machines [Trends & Controversies]

Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference

Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection

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