Publications

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring Based on Raw Single-Channel EEG

Akara Supratak and Yike Guo

42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, 2020

Remote Monitoring in the Home Validates Clinical Gait Measures for Multiple Sclerosis

Akara Supratak, Gourab Datta, Arie R. Gafson, Richard Nicholas, Yike Guo and Paul M. Matthews

Frontiers in Neurology, 2018

Towards Desynchronization Detection in Biosignals

Akara Supratak, Steffen Schneider, Hao Dong, Ling Li and Yike Guo

NIPS Time Series Workshop 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development

Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu and Yike Guo

ACM Multimedia 2017

Mixed Neural Network Approach for Temporal Sleep Stage Classification

Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M Matthews and Yike Guo

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Akara Supratak, Hao Dong, Chao Wu and Yike Guo

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017

Remote Actigraphy for Quantitative Assessment of Walking Speed in People with MS

Akara Supratak, Gourab Datta, Chao Wu, Simiao Yu, Caroline D'Arcy, Richard Nicholas, Yike Guo and Paul Matthews

American Academic of Neurology (ANN), 2016

Survey on Feature Extraction and Applications of Biosignals

Akara Supratak, Chao Wu, Hao Dong, Kai Sun and Yike Guo

Machine Learning for Health Informatics, 2016

Feature Extraction with Stacked Autoencoders for Epileptic Seizure Detection

Akara Supratak, Ling Li and Yike Guo

IEEE Engineering in Medicine and Biology Society (EMBC), 2014

Enabling Performance as a Service for a Cloud Storage System

Yang Li, Li Guo, Akara Supratak, and Yike Guo

IEEE International Conference on Cloud Computing (CLOUD), 2014