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Learning to Understand Remote Sensing Images: Volume 2

Wang, Qi

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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Photovoltaic power forecasting based LSTM-Convolutional Network

Energy (Oxford), 2019-12, Vol.189, p.116225, Article 116225

2019

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CNN-RNN and Data Augmentation Using Deep Convolutional Generative Adversarial Network for Environmental Sound Classification

IEEE signal processing letters, 2022, Vol.29, p.682-686

2022

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Multibranch Fusion: A Multibranch Attention Framework by Combining Graph Convolutional Network and CNN for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-17

2024

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Unsupervised Hyperspectral Band Selection via Hybrid Graph Convolutional Network

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

2022

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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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Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-14

2023

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A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification

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

2022

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Deep feature enhancement method for land cover with irregular and sparse spatial distribution features: a case study on open-pit mining

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Learning to Generate Chairs, Tables and Cars with Convolutional Networks

IEEE transactions on pattern analysis and machine intelligence, 2017-04, Vol.39 (4), p.692-705

2017

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Bidirection-Fusion-YOLOv3: An Improved Method for Insulator Defect Detection Using UAV Image

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-8

2022

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Deep Ordinal Hashing With Spatial Attention

IEEE transactions on image processing, 2019-05, Vol.28 (5), p.2173-2186

2019

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Graph Convolutional Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.5966-5978

2021

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Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

IEEE transactions on pattern analysis and machine intelligence, 2016-10, Vol.38 (10), p.2024-2039

2016

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Using Hybrid Models for Action Correction in Instrument Learning Based on AI

IEEE access, 2024-09, Vol.12, p.1-1

2024

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Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification

Neurocomputing (Amsterdam), 2022-08, Vol.501, p.246-257

2022

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HDECGCN: A Heterogeneous Dual Enhanced Network Based on Hybrid CNNs Joint Multiscale Dynamic GCNs for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-17

2024

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MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction

IEEE journal of biomedical and health informatics, 2024-08, Vol.28 (8), p.4995-5006

2024

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A Novel Bayesian-Optimization-based Adversarial TCN for RUL Prediction of Bearings

IEEE sensors journal, 2022-11, Vol.22 (21), p.1-1

2022

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Exploiting node-feature bipartite graph in graph convolutional networks

Information sciences, 2023-05, Vol.628, p.409-423

2023

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Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network

IEEE access, 2020, Vol.8, p.114892-114899

2020

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Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation

IEEE transaction on neural networks and learning systems, 2024-09, Vol.PP, p.1-14

2024

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Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification

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

2022

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ECG-Based Automated Emotion Recognition using Temporal Convolution Neural Networks

IEEE sensors journal, 2024-08, p.1-1

2024

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Learning to Understand Remote Sensing Images: Volume 2

EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

Photovoltaic power forecasting based LSTM-Convolutional Network

CNN-RNN and Data Augmentation Using Deep Convolutional Generative Adversarial Network for Environmental Sound Classification

Multibranch Fusion: A Multibranch Attention Framework by Combining Graph Convolutional Network and CNN for Hyperspectral Image Classification

Unsupervised Hyperspectral Band Selection via Hybrid Graph Convolutional Network

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

Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification

A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification

Deep feature enhancement method for land cover with irregular and sparse spatial distribution features: a case study on open-pit mining

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

Bidirection-Fusion-YOLOv3: An Improved Method for Insulator Defect Detection Using UAV Image

Deep Ordinal Hashing With Spatial Attention

Graph Convolutional Networks for Hyperspectral Image Classification

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Using Hybrid Models for Action Correction in Instrument Learning Based on AI

Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification

HDECGCN: A Heterogeneous Dual Enhanced Network Based on Hybrid CNNs Joint Multiscale Dynamic GCNs for Hyperspectral Image Classification

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction

A Novel Bayesian-Optimization-based Adversarial TCN for RUL Prediction of Bearings

Exploiting node-feature bipartite graph in graph convolutional networks

Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network

Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation

Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification

ECG-Based Automated Emotion Recognition using Temporal Convolution Neural Networks

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