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signal2image-modules-in-deep-neural-networks-for-eeg-classification

https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org, ieee.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary

Keywords

arxiv deep-neural-networks eeg-classification embc paper pytorch signal2image
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: pbizopoulos
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 28.3 MB
Statistics
  • Stars: 21
  • Watchers: 3
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Topics
arxiv deep-neural-networks eeg-classification embc paper pytorch signal2image
Created about 6 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README 

# Signal2Image Modules in Deep Neural Networks for EEG Classification
xdg-open https://arxiv.org/abs/1904.13216
xdg-open https://ieeexplore.ieee.org/abstract/document/8856620/
xdg-open https://pbizopoulos.github.io/signal2image-modules-in-deep-neural-networks-for-eeg-classification/

# Usage
xdg-open https://pbizopoulos.github.io/canonicalization/README.txt

# Extra commands
xdg-open https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification/settings/pages
# In 'Build and deployment', Source choose GitHub Actions.

Owner

  • Name: Paschalis Bizopoulos
  • Login: pbizopoulos
  • Kind: user

Citation (CITATION.bib) 

@inproceedings{bizopoulos2019signal2image,
  title = {Signal2image modules in deep neural networks for eeg classification},
  author = {Bizopoulos, Paschalis and Lambrou, George I and Koutsouris, Dimitrios},
  year = {2019},
  booktitle = {2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  pages = {702--705},
  organization = {IEEE}
}

GitHub Events

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Last synced: over 1 year ago

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  • Total issues: 0
  • Total pull requests: 160
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.71
  • Merged pull requests: 46
  • Bot issues: 0
  • Bot pull requests: 160
Past Year
  • Issues: 0
  • Pull requests: 36
  • Average time to close issues: N/A
  • Average time to close pull requests: 9 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 36
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dependencies (182) python (117) javascript (35) docker (29) github_actions (1)

Dependencies

.github/workflows/workflow.yml actions
  • actions/checkout v3 composite
Dockerfile docker
  • texlive/texlive latest build
docs/Dockerfile docker
  • node 19.5.0 build
python/Dockerfile docker
  • pytorch/pytorch 1.13.1-cuda11.6-cudnn8-runtime build
docs/package.json npm
  • css-validator 0.11.0 development
  • html-validate 7.13.1 development
  • js-beautify 1.14.7 development
  • rome 11.0.0 development
  • serve 14.2.0 development
  • stylelint 14.16.1 development
  • stylelint-config-standard 29.0.0 development
  • stylelint-order 6.0.1 development
python/pyproject.toml pypi
  • Jinja2 ==3.1.2
  • matplotlib ==3.6.3
  • onnx-tf ==1.10.0
  • pandas ==1.5.3
  • scipy ==1.10.0
  • tensorflow-probability ==0.19.0
  • tensorflowjs ==4.2.0