Jan 4, 2024 · We propose an EEG emotion recognition net with a cross-subject multi-source adaptive method (MASTF-net), where EEG features of different subjects are regarded ...
Jan 26, 2024 · In order to solve the problem of cross-subject emotion analysis, we propose an EEG emotion recognition net with a cross-subject multi-source ...
MASTF-net: An EEG Emotion Recognition Network Based on Multi-Source Domain Adaptive Method Based on Spatio-Temporal Image and Frequency Domain Information.
Hongxiang Xu, Mastf-net: An eeg emotion recognition network based on multi ... adaptive method based on spatio-temporal image and frequency domain information ...
Nov 7, 2023 · In this article, we propose a novel and effective method, Multi-Source Feature Representation and Alignment Network (MS-FRAN).
Missing: MASTF- net: Spatio- Temporal Image Frequency
Specifically, ADS-Net models the spatial correlation of EEG channels in graph topological space, while exploring long-range dependencies and frequency ...
MASTF-net: An EEG Emotion Recognition Network Based on Multi-Source Domain Adaptive Method Based on Spatio-Temporal Image and Frequency Domain Information.
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Feb 14, 2024 · This paper incorporates the individual difference and group commonality of distinct domains and proposes a multi-source information-shared network (MISNet)
Missing: MASTF- | Show results with:MASTF-
In this paper, we propose a multi-source domain generalization model based on the domain and content adaptive convolution (DCAC) for the segmentation of medical ...
Jun 12, 2024 · We have designed TPRO-NET, a neural network that takes differential entropy and enhanced differential entropy features as input and outputs emotion categories.
Missing: MASTF- | Show results with:MASTF-