-
Notifications
You must be signed in to change notification settings - Fork 21
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #5140 from openjournals/joss.06224
Merging automatically
- Loading branch information
Showing
3 changed files
with
670 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,232 @@ | ||
<?xml version="1.0" encoding="UTF-8"?> | ||
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" | ||
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" | ||
xmlns:rel="http://www.crossref.org/relations.xsd" | ||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
version="5.3.1" | ||
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> | ||
<head> | ||
<doi_batch_id>20240317T145930-0100db6ed0a1d2f3fee5fd2f432d32115f6b7c71</doi_batch_id> | ||
<timestamp>20240317145930</timestamp> | ||
<depositor> | ||
<depositor_name>JOSS Admin</depositor_name> | ||
<email_address>[email protected]</email_address> | ||
</depositor> | ||
<registrant>The Open Journal</registrant> | ||
</head> | ||
<body> | ||
<journal> | ||
<journal_metadata> | ||
<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
<doi_data> | ||
<doi>10.21105/joss</doi> | ||
<resource>https://joss.theoj.org</resource> | ||
</doi_data> | ||
</journal_metadata> | ||
<journal_issue> | ||
<publication_date media_type="online"> | ||
<month>03</month> | ||
<year>2024</year> | ||
</publication_date> | ||
<journal_volume> | ||
<volume>9</volume> | ||
</journal_volume> | ||
<issue>95</issue> | ||
</journal_issue> | ||
<journal_article publication_type="full_text"> | ||
<titles> | ||
<title>SelfEEG: A Python library for Self-Supervised Learning | ||
in Electroencephalography</title> | ||
</titles> | ||
<contributors> | ||
<person_name sequence="first" contributor_role="author"> | ||
<given_name>Federico</given_name> | ||
<surname>Del Pup</surname> | ||
<ORCID>https://orcid.org/0009-0004-0698-962X</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Andrea</given_name> | ||
<surname>Zanola</surname> | ||
<ORCID>https://orcid.org/0000-0001-6973-8634</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Louis Fabrice</given_name> | ||
<surname>Tshimanga</surname> | ||
<ORCID>https://orcid.org/0009-0002-1240-4830</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Paolo Emilio</given_name> | ||
<surname>Mazzon</surname> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Manfredo</given_name> | ||
<surname>Atzori</surname> | ||
<ORCID>https://orcid.org/0000-0001-5397-2063</ORCID> | ||
</person_name> | ||
</contributors> | ||
<publication_date> | ||
<month>03</month> | ||
<day>17</day> | ||
<year>2024</year> | ||
</publication_date> | ||
<pages> | ||
<first_page>6224</first_page> | ||
</pages> | ||
<publisher_item> | ||
<identifier id_type="doi">10.21105/joss.06224</identifier> | ||
</publisher_item> | ||
<ai:program name="AccessIndicators"> | ||
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
</ai:program> | ||
<rel:program> | ||
<rel:related_item> | ||
<rel:description>Software archive</rel:description> | ||
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.10813095</rel:inter_work_relation> | ||
</rel:related_item> | ||
<rel:related_item> | ||
<rel:description>GitHub review issue</rel:description> | ||
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/6224</rel:inter_work_relation> | ||
</rel:related_item> | ||
</rel:program> | ||
<doi_data> | ||
<doi>10.21105/joss.06224</doi> | ||
<resource>https://joss.theoj.org/papers/10.21105/joss.06224</resource> | ||
<collection property="text-mining"> | ||
<item> | ||
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.06224.pdf</resource> | ||
</item> | ||
</collection> | ||
</doi_data> | ||
<citation_list> | ||
<citation key="eegrafiei"> | ||
<article_title>Self-supervised learning for | ||
electroencephalography</article_title> | ||
<author>Rafiei</author> | ||
<journal_title>IEEE Transactions on Neural Networks and | ||
Learning Systems</journal_title> | ||
<doi>10.1109/TNNLS.2022.3190448</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Rafiei, M. H., Gauthier, L. V., | ||
Adeli, H., & Takabi, D. (2022). Self-supervised learning for | ||
electroencephalography. IEEE Transactions on Neural Networks and | ||
Learning Systems. | ||
https://doi.org/10.1109/TNNLS.2022.3190448</unstructured_citation> | ||
</citation> | ||
<citation key="banville"> | ||
<article_title>Uncovering the structure of clinical EEG | ||
signals with self-supervised learning</article_title> | ||
<author>Banville</author> | ||
<journal_title>Journal of Neural Engineering</journal_title> | ||
<issue>4</issue> | ||
<volume>18</volume> | ||
<doi>10.1088/1741-2552/abca18</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Banville, H., Chehab, O., Hyvärinen, | ||
A., Engemann, D.-A., & Gramfort, A. (2021). Uncovering the structure | ||
of clinical EEG signals with self-supervised learning. Journal of Neural | ||
Engineering, 18(4), 046020. | ||
https://doi.org/10.1088/1741-2552/abca18</unstructured_citation> | ||
</citation> | ||
<citation key="DelPup2023"> | ||
<article_title>Applications of self-supervised learning to | ||
biomedical signals: A survey</article_title> | ||
<author>Del Pup</author> | ||
<journal_title>IEEE Access</journal_title> | ||
<volume>11</volume> | ||
<doi>10.1109/ACCESS.2023.3344531</doi> | ||
<cYear>2023</cYear> | ||
<unstructured_citation>Del Pup, F., & Atzori, M. (2023). | ||
Applications of self-supervised learning to biomedical signals: A | ||
survey. IEEE Access, 11, 144180–144203. | ||
https://doi.org/10.1109/ACCESS.2023.3344531</unstructured_citation> | ||
</citation> | ||
<citation key="pytorch"> | ||
<article_title>Pytorch: An imperative style, | ||
high-performance deep learning library</article_title> | ||
<author>Paszke</author> | ||
<journal_title>Advances in neural information processing | ||
systems</journal_title> | ||
<volume>32</volume> | ||
<doi>10.48550/arXiv.1912.01703</doi> | ||
<cYear>2019</cYear> | ||
<unstructured_citation>Paszke, A., Gross, S., Massa, F., | ||
Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, | ||
N., Antiga, L., & others. (2019). Pytorch: An imperative style, | ||
high-performance deep learning library. Advances in Neural Information | ||
Processing Systems, 32. | ||
https://doi.org/10.48550/arXiv.1912.01703</unstructured_citation> | ||
</citation> | ||
<citation key="eegdl"> | ||
<article_title>A novel approach of decoding EEG four-class | ||
motor imagery tasks via scout ESI and CNN</article_title> | ||
<author>Hou</author> | ||
<journal_title>Journal of Neural Engineering</journal_title> | ||
<issue>1</issue> | ||
<volume>17</volume> | ||
<doi>10.1088/1741-2552/ab4af6</doi> | ||
<unstructured_citation>Hou, Y., Zhou, L., Jia, S., & | ||
Lun, X. (Feb. 2020). A novel approach of decoding EEG four-class motor | ||
imagery tasks via scout ESI and CNN. Journal of Neural Engineering, | ||
17(1), 016048. | ||
https://doi.org/10.1088/1741-2552/ab4af6</unstructured_citation> | ||
</citation> | ||
<citation key="app13095472"> | ||
<article_title>An overview of open source deep | ||
learning-based libraries for neuroscience</article_title> | ||
<author>Tshimanga</author> | ||
<journal_title>Applied Sciences</journal_title> | ||
<issue>9</issue> | ||
<volume>13</volume> | ||
<doi>10.3390/app13095472</doi> | ||
<issn>2076-3417</issn> | ||
<cYear>2023</cYear> | ||
<unstructured_citation>Tshimanga, L. F., Del Pup, F., | ||
Corbetta, M., & Atzori, M. (2023). An overview of open source deep | ||
learning-based libraries for neuroscience. Applied Sciences, 13(9). | ||
https://doi.org/10.3390/app13095472</unstructured_citation> | ||
</citation> | ||
<citation key="torchEEG"> | ||
<article_title>TorchEEGEMO: A deep learning toolbox towards | ||
EEG-based emotion recognition</article_title> | ||
<author>Zhang</author> | ||
<journal_title>Expert Systems with | ||
Applications</journal_title> | ||
<doi>10.1016/j.eswa.2024.123550</doi> | ||
<issn>0957-4174</issn> | ||
<cYear>2024</cYear> | ||
<unstructured_citation>Zhang, Z., Zhong, S., & Liu, Y. | ||
(2024). TorchEEGEMO: A deep learning toolbox towards EEG-based emotion | ||
recognition. Expert Systems with Applications, 123550. | ||
https://doi.org/10.1016/j.eswa.2024.123550</unstructured_citation> | ||
</citation> | ||
<citation key="lightly"> | ||
<article_title>Lightly</article_title> | ||
<author>Susmelj</author> | ||
<cYear>2024</cYear> | ||
<unstructured_citation>Susmelj, I., Heller, M., Wirth, P., | ||
Prescott, J., Ebner, M., & others. (2024). Lightly (Version 1.5.0). | ||
https://github.com/lightly-ai/lightly</unstructured_citation> | ||
</citation> | ||
<citation key="vissl"> | ||
<article_title>VISSL</article_title> | ||
<author>Goyal</author> | ||
<cYear>2024</cYear> | ||
<unstructured_citation>Goyal, P., Duval, Q., Reizenstein, | ||
J., Leavitt, M., Xu, M., Lefaudeux, B., Singh, M., Reis, V., Caron, M., | ||
Bojanowski, P., Joulin, A., & Misra, I. (2024). VISSL (Version | ||
0.1.6). | ||
https://github.com/facebookresearch/vissl</unstructured_citation> | ||
</citation> | ||
</citation_list> | ||
</journal_article> | ||
</journal> | ||
</body> | ||
</doi_batch> |
Oops, something went wrong.