Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals

Research article (Frontiers in Neuroscience, 2017) · cited 59× · AI/ML
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Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals

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Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiple-kernel-based-region-importance-learning-for-neural-classification-of-gait-states-from-eeg-signals
MLA “Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiple-kernel-based-region-importance-learning-for-neural-classification-of-gait-states-from-eeg-signals.
BibTeX @misc{4ortxyz_multiple-kernel-based-region-importance-learning-for-neural-classification-of-gait-states-from-eeg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals}}, year = {2026}, url = {https://4ort.xyz/entity/multiple-kernel-based-region-importance-learning-for-neural-classification-of-gait-states-from-eeg-signals}, note = {Accessed: 2026-05-24}}
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