SOTAVerified

Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 74 papers

TitleStatusHype
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
A large-scale evaluation framework for EEG deep learning architectures—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
Combining Euclidean Alignment and Data Augmentation for BCI decoding—0
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified