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A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture

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Paper Details

Authors:
Mohamad Shahbazi, Hamid K. Aghajan
Submitted On:
20 November 2018 - 11:16am
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Type:
Presentation Slides
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Paper Code:
1194
Document Year:
2018
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[1] Mohamad Shahbazi, Hamid K. Aghajan, "A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3678. Accessed: Oct. 20, 2019.
@article{3678-18,
url = {http://sigport.org/3678},
author = {Mohamad Shahbazi; Hamid K. Aghajan },
publisher = {IEEE SigPort},
title = {A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture},
year = {2018} }
TY - EJOUR
T1 - A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture
AU - Mohamad Shahbazi; Hamid K. Aghajan
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3678
ER -
Mohamad Shahbazi, Hamid K. Aghajan. (2018). A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture. IEEE SigPort. http://sigport.org/3678
Mohamad Shahbazi, Hamid K. Aghajan, 2018. A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture. Available at: http://sigport.org/3678.
Mohamad Shahbazi, Hamid K. Aghajan. (2018). "A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture." Web.
1. Mohamad Shahbazi, Hamid K. Aghajan. A Generalizable Model for Seizure Prediction based on Deep Learning using CNN-LSTM Architecture [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3678