Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes

Research article (Scientific Reports, 2022) · cited 39× · AI/ML
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Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes

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Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes. Retrieved May 24, 2026, from https://4ort.xyz/entity/accurate-emotion-recognition-using-bayesian-model-based-eeg-sources-as-dynamic-graph-convolutional-neural-network-nodes
MLA “Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accurate-emotion-recognition-using-bayesian-model-based-eeg-sources-as-dynamic-graph-convolutional-neural-network-nodes.
BibTeX @misc{4ortxyz_accurate-emotion-recognition-using-bayesian-model-based-eeg-sources-as-dynamic-graph-convolutional-neural-network-nodes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes}}, year = {2026}, url = {https://4ort.xyz/entity/accurate-emotion-recognition-using-bayesian-model-based-eeg-sources-as-dynamic-graph-convolutional-neural-network-nodes}, note = {Accessed: 2026-05-24}}
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