Dongrui Gao

Orcid: 0000-0002-2023-0765

According to our database1, Dongrui Gao authored at least 15 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
An EEG-based cross-subject interpretable CNN for game player expertise level classification.
Expert Syst. Appl., March, 2024

A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding.
Appl. Soft Comput., January, 2024

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Emotion recognition based on convolutional gated recurrent units with attention.
Connect. Sci., December, 2023

An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue.
Appl. Soft Comput., October, 2023

A deep learning network based on CNN and sliding window LSTM for spike sorting.
Comput. Biol. Medicine, June, 2023

T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network.
Comput. Biol. Chem., June, 2023

SHNN: A single-channel EEG sleep staging model based on semi-supervised learning.
Expert Syst. Appl., 2023

2021
Hardware Trojan Detection Based on Ordered Mixed Feature GEP.
Secur. Commun. Networks, 2021

CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network.
Expert Syst. Appl., 2021

MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue.
Expert Syst. Appl., 2021

2020
A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning.
IEEE Access, 2020

GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
ICANet: a simple cascade linear convolution network for face recognition.
EURASIP J. Image Video Process., 2018

2015
Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems.
Comput. Math. Methods Medicine, 2015


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