Fangzhou Xu

According to our database1, Fangzhou Xu authored at least 32 papers between 2010 and 2023.

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Bibliography

2023
A Light Vehicle License-Plate-Recognition System Based on Hybrid Edge-Cloud Computing.
Sensors, November, 2023

Epileptic EEG Classification via Graph Transformer Network.
Int. J. Neural Syst., August, 2023

Interactive local and global feature coupling for EEG-based epileptic seizure detection.
Biomed. Signal Process. Control., March, 2023

Hybrid Attention Network for Epileptic EEG Classification.
Int. J. Neural Syst., 2023

One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain.
Int. J. Neural Syst., 2023

2022
EEG decoding method based on multi-feature information fusion for spinal cord injury.
Neural Networks, 2022

Abnormal actions detection of robotic arm via 3D convolution neural network and support vector data description.
J. Intell. Fuzzy Syst., 2022

Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning.
Int. J. Neural Syst., 2022

Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery.
Int. J. Neural Syst., 2022

Spatial Enhanced Pattern Through Graph Convolutional Neural Network for Epileptic EEG Identification.
Int. J. Neural Syst., 2022

A framework for motor imagery with LSTM neural network.
Comput. Methods Programs Biomed., 2022

CAF-RRT<sup>*</sup>: A 2D Path Planning Algorithm Based on Circular Arc Fillet Method.
IEEE Access, 2022

2021
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals.
Int. J. Neural Syst., 2021

The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis.
Int. J. Neural Syst., 2021

EEG-Based Seizure detection using linear graph convolution network with focal loss.
Comput. Methods Programs Biomed., 2021

2020
Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network.
J. Supercomput., 2020

Channel and Feature Selection for a Motor Imagery-Based BCI System Using Multilevel Particle Swarm Optimization.
Comput. Intell. Neurosci., 2020

Scalp EEG classification using deep Bi-LSTM network for seizure detection.
Comput. Biol. Medicine, 2020

BusTr: Predicting Bus Travel Times from Real-Time Traffic.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Automatic seizure detection based on kernel robust probabilistic collaborative representation.
Medical Biol. Eng. Comput., 2019

Face Identification With Top-Push Constrained Generalized Low-Rank Approximation of Matrices.
IEEE Access, 2019

Classification of Motor Imagery Electrocorticogram Signals for Brain-Computer Interface<sup>*</sup>.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Using Long Short- Term Memory Network for Recognizing Motor Imagery Tasks.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

2018
Epileptic EEG Identification via LBP Operators on Wavelet Coefficients.
Int. J. Neural Syst., 2018

Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer.
IET Comput. Vis., 2018

Gray Image Reconstruction Algorithm Based 1p Optimization for Sparse Representation.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017
DataLab: Introducing Software Engineering Thinking into Data Science Education at Scale.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training Track, 2017

2016
Using Fractal and Local Binary Pattern Features for Classification of ECOG Motor Imagery Tasks Obtained from the Right Brain Hemisphere.
Int. J. Neural Syst., 2016

DataLab: a version data management and analytics system.
Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016

2010
Earthquake Prediction Based on Levenberg-Marquardt Algorithm Constrained Back-Propagation Neural Network Using DEMETER Data.
Proceedings of the Knowledge Science, 2010

Open source solution to Geospatial Infrastructure for DEMETER observation data archives.
Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010


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