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Artificial Intelligence in the Age of Neural Networks and Brain Computing

Second edition, 2023

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Meta-Learning: Theory, Algorithms and Applications

Zou, Lan

1, 2022

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Digital Era and Fuzzy Applications in Management and Economy

1, 2022

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Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

1, 2022

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Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Proceedings of the IEEE, 2020-04, Vol.108 (4), p.485-532

2020

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Computational Neuroscience: Cortical Dynamics: 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures

2004

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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.6999-7019

2022

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Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller

IEEE transactions on cybernetics, 2022-09, Vol.52 (9), p.9519-9534

2022

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Neural Networks and Artificial Intelligence for Biomedical Engineering

1999

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Pruning and quantization for deep neural network acceleration: A survey

Neurocomputing (Amsterdam), 2021-10, Vol.461, p.370-403

2021

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A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

Journal of computational physics, 2022-08, Vol.462, p.111260, Article 111260

2022

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Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits

IEEE transactions on circuits and systems. I, Regular papers, 2019-02, Vol.66 (2), p.719-732

2019

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EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

IEEE transactions on affective computing, 2020-07, Vol.11 (3), p.532-541

2020

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Spiking Deep Residual Networks

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.5200-5205

2023

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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262

2014

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Review of Deep Learning Algorithms and Architectures

IEEE access, 2019, Vol.7, p.53040-53065

2019

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A hybrid deep learning based traffic flow prediction method and its understanding

Transportation research. Part C, Emerging technologies, 2018-05, Vol.90, p.166-180

2018

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Local Similarity-Based Spatial-Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-15

2022

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Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks

IEEE journal of selected topics in quantum electronics, 2020-01, Vol.26 (1), p.1-14

2020

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Capturing Car-Following Behaviors by Deep Learning

IEEE transactions on intelligent transportation systems, 2018-03, Vol.19 (3), p.910-920

2018

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Deep Fuzzy Hashing Network for Efficient Image Retrieval

IEEE transactions on fuzzy systems, 2021-01, Vol.29 (1), p.166-176

2021

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Brain tumor segmentation with Deep Neural Networks

Medical image analysis, 2017-01, Vol.35, p.18-31

2017

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Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

IEEE transaction on neural networks and learning systems, 2020-04, Vol.31 (4), p.1297-1309

2020

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Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Proceedings of the IEEE, 2017-12, Vol.105 (12), p.2295-2329

2017

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PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network

Journal of computational physics, 2019-12, Vol.399, p.108925, Article 108925

2019

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Artificial Intelligence in the Age of Neural Networks and Brain Computing

Meta-Learning: Theory, Algorithms and Applications

Digital Era and Fuzzy Applications in Management and Economy

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Computational Neuroscience: Cortical Dynamics: 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller

Neural Networks and Artificial Intelligence for Biomedical Engineering

Pruning and quantization for deep neural network acceleration: A survey

A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits

EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

Spiking Deep Residual Networks

A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

Review of Deep Learning Algorithms and Architectures

A hybrid deep learning based traffic flow prediction method and its understanding

Local Similarity-Based Spatial-Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering

Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks

Capturing Car-Following Behaviors by Deep Learning

Deep Fuzzy Hashing Network for Efficient Image Retrieval

Brain tumor segmentation with Deep Neural Networks

Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network

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