Cunbo Li
Orcid: 0000-0002-1954-6113
According to our database1,
Cunbo Li
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
A Novel Robust Sparse Granger Causality Inference Method and Its Application in MI EEG.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024
2023
A Wearable Master-Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network.
Adv. Intell. Syst., March, 2023
A novel robust Student's <i>t</i>-based Granger causality for EEG based brain network analysis.
Biomed. Signal Process. Control., 2023
2022
Multimodal collaborative BCI system based on the improved CSP feature extraction algorithm.
Virtual Real. Intell. Hardw., 2022
2020
NeuroImage, 2020
Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset.
Entropy, 2020
Robust brain causality network construction based on Bayesian multivariate autoregression.
Biomed. Signal Process. Control., 2020
2019
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations.
IEEE Trans. Biomed. Eng., 2019
Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy.
Frontiers Comput. Neurosci., 2019
Separated channel convolutional neural network to realize the training free motor imagery BCI systems.
Biomed. Signal Process. Control., 2019
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019