Yuliang Ma

Orcid: 0000-0003-1277-4663

Affiliations:
  • Hangzhou Dianzi University, School of Automation, Institute of Intelligent Control and Robotics, Hangzhou, China


According to our database1, Yuliang Ma authored at least 17 papers between 2015 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation.
CoRR, 2024

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

Cross-subject EEG emotion recognition using multi-source domain manifold feature selection.
Comput. Biol. Medicine, June, 2023

EEG-based emotion recognition with cascaded convolutional recurrent neural networks.
Pattern Anal. Appl., May, 2023

Single image super-resolution based on multi-scale dense attention network.
Soft Comput., March, 2023

Multi-Source geometric metric transfer learning for EEG classification.
Biomed. Signal Process. Control., March, 2023

Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2023

2022
A new feature selection approach for driving fatigue EEG detection with a modified machine learning algorithm.
Comput. Biol. Medicine, 2022

2021
Transfer of semi-supervised broad learning system in electroencephalography signal classification.
Neural Comput. Appl., 2021

EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function.
Frontiers Neurorobotics, 2021

2020
Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation.
Comput. Intell. Neurosci., 2020

2019
Generalization improvement for regularized least squares classification.
Neural Comput. Appl., 2019

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

2018
Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.
Comput. Intell. Neurosci., 2018

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

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

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


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