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Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification
#finalyearprojects 2020 | CLASSIFICATION OF ELECTROENCEPHALOGRAPHY-BASED MOTOR IMAGERY TASKS
Zhang Kaishuo - Subject Adaptation with Deep ConvNet for EEG-based Motor Imagery Classification
Exploring Convolutional neural networks in EEG datasets classification
MOTOR IMAGERY EEG SIGNAL MOVEMENT CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK
L18 : The analysis and classification of Motor-Imagery EEG data (BCI competition IV)
UC19:Comparison of Active & Passive Attention Based Tasks Using EEG w/ Convolutional Neural Network
MY022 - Classification of motor imagery Electroencephalogram (EEG) signal using deep learning
A Study of the Classification of Motor Imagery Signals using Machine Learning Tools
PSD feature Extraction and LDA classification of motor imagery-based EEG signals for BCI system
Motor Imagery Data Characterization from EEG for Prosthetic Hand with Deep Learning Classification
Jaakko Laiho - "Deep Learning for Brain Computer Interfaces"
