ziyujia's Stars
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
meagmohit/EEG-Datasets
A list of all public EEG-datasets
NeuroTechX/EEG-ExPy
EEG Experiments in Python
raphaelvallat/yasa
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
ziyujia/MSTGCN
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
ziyujia/HetEmotionNet
pquochuy/xsleepnet
xiyangcai/SleepPrintNet
SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging
zhouyh310/SleepHGNN
This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Graph Neural Network
xiyangcai/SEN-DAL
Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging
ziyujia/PMIME-and-TE
Partial conditional mutual information from mixed embedding for coupling estimation in multivariate time series. We also use transfer entropy to realize this method.
GaoxingZheng/UFA_toolbox
U fiber analysis: a toolbox for automated quantification of U-fibers and white matter hyperintensities
JulienYulinMa/MSTGCN
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
xiyangcai/BrainSleepNet
BrainSleepNet: Learning Multivariate EEG Representation for Automatic Sleep Staging
xiyangcai/TS-SEN
Two-Stream Squeeze-and-Excitation Network for Multi-modal Sleep Staging
shineonme56/Motor-Imagery-Papers
A list of papers for motor imagery using machine learning/deep learning.
wtz1/Physiological-Signal-Classification-Papers
A list of papers for physiological signal classification using machine learning/deep learning.
AdityaDutt/Emotion-Recognition-Papers
A list of papers for emotion recognition using machine learning/deep learning.
HavenKey/high-gamma-dataset
NaimahmedNesaragi/eeg-gcnn
Code to reproduce results reported in the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
TJL2018GH/EEG-Attention-BiLSTM-GCN
UM-Tao/ADFCNN-MI
gumowangfei/SalientSleepNet
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
hdbdjdbm/PMIME-and-TE
Partial conditional mutual information from mixed embedding for coupling estimation in multivariate time series. We also use transfer entropy to realize this method.
shenghuo123/SalientSleepNet
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Stella-zwx/GraphSleepNet
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
twinkle0331/Grasp-and-lift-EEG-challenge
Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge
Vpredictor/SalientSleepNet
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
wlwhc/SalientSleepNet
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
YihanHu-2022/GraphSleepNet
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification