Minmin Miao

According to our database, Minmin Miao authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A multiple frequency bands parallel spatial-temporal 3D deep residual learning framework for EEG-based emotion recognition.

Minmin Miao, Longxin Zheng, Baoguo Xu, Zhong Yang, Wenjun Hu

Biomed. Signal Process. Control., 2023

Cucumber Flower Detection Based on YOLOv5s-SE7 Within Greenhouse Environments.

Xiangying Xu, Hongjiang Wang, Minmin Miao, Weijian Zhang, Yonglong Zhang, Haibo Dai, Zijian Zheng, Xiaoxiang Zhang

IEEE Access, 2023

2022

Automated CCA-MWF Algorithm for Unsupervised Identification and Removal of EOG Artifacts From EEG.

Minmin Miao, Wenjun Hu, Baoguo Xu, Jinglin Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque

IEEE J. Biomed. Health Informatics, 2022

2021

A spatial-frequency-temporal 3D convolutional neural network for motor imagery EEG signal classification.

Minmin Miao, Wenjun Hu, Wenbin Zhang

Signal Image Video Process., 2021

Incremental multi-view spectral clustering with sparse and connected graph learning.

Hongwei Yin, Wenjun Hu, Zhao Zhang, Jungang Lou, Minmin Miao

Neural Networks, 2021

2020

Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network.

Minmin Miao, Wenjun Hu, Hongwei Yin, Ke Zhang

Comput. Math. Methods Medicine, 2020

An adaptive multi-domain feature joint optimization framework based on composite kernels and ant colony optimization for motor imagery EEG classification.

Minmin Miao, Wenbin Zhang, Wenjun Hu, Ruiqin Wang

Biomed. Signal Process. Control., 2020

2018

Application of artificial bee colony algorithm in feature optimization for motor imagery EEG classification.

Minmin Miao, Aimin Wang, Feixiang Liu

Neural Comput. Appl., 2018

2017

A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.

Minmin Miao, Aimin Wang, Feixiang Liu

Medical Biol. Eng. Comput., 2017

Composite and Multiple Kernel Learning for Brain Computer Interface.

Minmin Miao, Hong Zeng, Aimin Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Designing Robust Spatial Filter for Motor Imagery Electroencephalography Signal Classification in Brain-Computer Interface Systems.

Minmin Miao, Aimin Wang, Hong Zeng

Proceedings of the Fuzzy Systems and Data Mining III, 2017