activity
20192023
most citedAn End-to-End Deep Learning Approach for Epileptic Seizure Prediction

84 citations · 222 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 2 cited

CSP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction

Di Wu, Yi Shi, Ziyu Wang +2

Recent development in brain-machine interface technology has made seizure prediction possible. However, the communication of large volume of electrophysiological signals between se…

eess.SP2021★ 84 cited

An End-to-End Deep Learning Approach for Epileptic Seizure Prediction

Yankun Xu, Jie Yang, Shiqi Zhao +2

An accurate seizure prediction system enables early warnings before seizure onset of epileptic patients. It is extremely important for drug-refractory patients. Conventional seizur…

cs.LG2021

Cascade Decoders-Based Autoencoders for Image Reconstruction

Honggui Li, Dimitri Galayko, Maria Trocan +1

Autoencoders are composed of coding and decoding units, hence they hold the inherent potential of high-performance data compression and signal compressed sensing. The main disadvan…

cs.LG2021★ 1 cited

A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction

Ziyu Wang, Jie Yang, Mohamad Sawan

Accurate prediction of epileptic seizures allows patients to take preventive measures in advance to avoid possible injuries. In this work, a novel convolutional neural network (CNN…

cs.NE2021★ 2 cited

A New Neuromorphic Computing Approach for Epileptic Seizure Prediction

Fengshi Tian, Jie Yang, Shiqi Zhao +1

Several high specificity and sensitivity seizure prediction methods with convolutional neural networks (CNNs) are reported. However, CNNs are computationally expensive and power hu…