Search Results for author: Akara Supratak

Found 4 papers, 3 papers with code

Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models

2 code implementations28 Mar 2023 Akara Supratak, Peter Haddawy

First, when annotations on a target dataset are unavailable, which different data characteristics affect the sleep stage scoring performance the most and by how much?

EEG Transfer Learning

TensorLayer: A Versatile Library for Efficient Deep Learning Development

2 code implementations26 Jul 2017 Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

Deep learning has enabled major advances in the fields of computer vision, natural language processing, and multimedia among many others.


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

8 code implementations12 Mar 2017 Akara Supratak, Hao Dong, Chao Wu, Yike Guo

This demonstrated that, without changing the model architecture and the training algorithm, our model could automatically learn features for sleep stage scoring from different raw single-channel EEGs from different datasets without utilizing any hand-engineered features.

EEG Electroencephalogram (EEG) +1

Mixed Neural Network Approach for Temporal Sleep Stage Classification

no code implementations15 Oct 2016 Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

Use of this recording configuration with neural network deconvolution promises to make clinically indicated home sleep studies practical.

Classification EEG +2

Cannot find the paper you are looking for? You can Submit a new open access paper.