Zhizeng Luo

Orcid: 0000-0002-2689-3455

According to our database1, Zhizeng Luo authored at least 34 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA).
Signal Image Video Process., December, 2024

2023
ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation.
IEEE J. Biomed. Health Informatics, June, 2023

2022
A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition.
Biomed. Signal Process. Control., 2022

2021
Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network.
Sensors, 2021

Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification.
Int. J. Mach. Learn. Cybern., 2021

Construction and analysis of cortical-muscular functional network based on EEG-EMG coherence using wavelet coherence.
Neurocomputing, 2021

2020
Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network.
Neural Comput., 2020

Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
Medical Biol. Eng. Comput., 2020

Facial expression distribution prediction based on surface electromyography.
Expert Syst. Appl., 2020

sEMG-MMG State-Space Model for the Continuous Estimation of Multijoint Angle.
Complex., 2020

Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure.
Complex., 2020

Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces.
Comput. Intell. Neurosci., 2020

Enhanced EEG-EMG coherence analysis based on hand movements.
Biomed. Signal Process. Control., 2020

2019
Surface Electromyography-Based Daily Activity Recognition Using Wavelet Coherence Coefficient and Support Vector Machine.
Neural Process. Lett., 2019

A hierarchical semi-supervised extreme learning machine method for EEG recognition.
Medical Biol. Eng. Comput., 2019

Time-Frequency-Domain Copula-Based Granger Causality and Application to Corticomuscular Coupling in Stroke.
Int. J. Humanoid Robotics, 2019

Confidence-weighted safe semi-supervised clustering.
Eng. Appl. Artif. Intell., 2019

Driving Fatigue Detection from EEG Using a Modified PCANet Method.
Comput. Intell. Neurosci., 2019

2018
Feature-Level Fusion of Surface Electromyography for Activity Monitoring.
Sensors, 2018

An entropy fusion method for feature extraction of EEG.
Neural Comput. Appl., 2018

On using supervised clustering analysis to improve classification performance.
Inf. Sci., 2018

Safety-aware Graph-based Semi-Supervised Learning.
Expert Syst. Appl., 2018

Local homogeneous consistent safe semi-supervised clustering.
Expert Syst. Appl., 2018

Dual Learning-Based Safe Semi-Supervised Learning.
IEEE Access, 2018

2017
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors.
Sensors, 2017

2016
A risk degree-based safe semi-supervised learning algorithm.
Int. J. Mach. Learn. Cybern., 2016

Towards a probabilistic semi-supervised Kernel Minimum Squared Error algorithm.
Neurocomputing, 2016

Towards designing risk-based safe Laplacian Regularized Least Squares.
Expert Syst. Appl., 2016

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.
Comput. Math. Methods Medicine, 2016

Neighborhood coarse graining based Lempel-Ziv complexity for analysis on center of pressure.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015
Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.
Comput. Intell. Neurosci., 2015

2010
Multiple kernel learning SVM-based EMG pattern classification for lower limb control.
Proceedings of the 11th International Conference on Control, 2010

2009
Error Resilient Design for Transmission Control in Wireless Networks.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
A Fuzzy Membership Model for FSVR-Based Image Coding.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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