Closed editorialbot closed 1 year ago
Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.
For a list of things I can do to help you, just type:
@editorialbot commands
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
@editorialbot generate pdf
Software report:
github.com/AlDanial/cloc v 1.88 T=0.08 s (1059.9 files/s, 89086.2 lines/s)
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Language files blank comment code
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Python 33 824 951 3062
YAML 35 233 64 675
TeX 1 25 0 189
reStructuredText 8 224 308 188
Markdown 3 32 0 115
TOML 1 4 0 27
DOS Batch 1 8 1 26
make 1 4 7 9
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SUM: 83 1354 1331 4291
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gitinspector failed to run statistical information for the repository
Wordcount for paper.md
is 1610
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- None
MISSING DOIs
- 10.1016/b978-0-12-815480-9.00013-x may be a valid DOI for title: Multiview Learning in Biomedical Applications
- 10.1016/s0003-2670(00)85460-4 may be a valid DOI for title: A multivariate calibration problem in analytical chemistry solved by partial least-squares models in latent variables
- 10.1109/access.2020.2992063 may be a valid DOI for title: Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis
- 10.1109/access.2020.3048309 may be a valid DOI for title: Recent Advances in Variational Autoencoders With Representation Learning for Biomedical Informatics A Survey
- 10.1016/j.knosys.2019.01.017 may be a valid DOI for title: Adversarial correlated autoencoder for unsupervised multi-view representation learning
- 10.1080/01691864.2022.2035253 may be a valid DOI for title: A survey of multimodal deep generative models
- 10.1080/09544120050135443 may be a valid DOI for title: On measurement of intangible assets: a study of robustness of partial least squares
- 10.1016/j.neuroimage.2010.07.034 may be a valid DOI for title: Partial Least Squares (PLS) Methods for Neuroimaging: A Tutorial and Review
- 10.1007/s00034-020-01522-7 may be a valid DOI for title: Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders
- 10.1101/2021.02.18.431907 may be a valid DOI for title: scMM: Mixture-of-experts multimodal deep generative model for single-cell multiomics data analysis
INVALID DOIs
- None
@editorialbot commands
Hello @alawryaguila, here are the things you can ask me to do:
# List all available commands
@editorialbot commands
# Get a list of all editors's GitHub handles
@editorialbot list editors
# Check the references of the paper for missing DOIs
@editorialbot check references
# Perform checks on the repository
@editorialbot check repository
# Adds a checklist for the reviewer using this command
@editorialbot generate my checklist
# Set a value for branch
@editorialbot set joss-paper as branch
# Generates the pdf paper
@editorialbot generate pdf
# Generates a LaTeX preprint file
@editorialbot generate preprint
# Get a link to the complete list of reviewers
@editorialbot list reviewers
@editorialbot check references
@editorialbot generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1016/B978-0-12-815480-9.00013-X is OK
- 10.1109/ACCESS.2020.2992063 is OK
- 10.1109/ACCESS.2020.3048309 is OK
- 10.1080/01691864.2022.2035253 is OK
- 10.1080/09544120050135443 is OK
- 10.1016/j.neuroimage.2010.07.034 is OK
- 10.1007/s00034-020-01522-7 is OK
MISSING DOIs
- None
INVALID DOIs
- https://doi.org/10.1016/S0003-2670(00)85460-4 is INVALID because of 'https://doi.org/' prefix
- https://doi.org/10.1016/j.knosys.2019.01.017 is INVALID because of 'https://doi.org/' prefix
- https://doi.org/10.1016/j.crmeth.2021.100071 is INVALID because of 'https://doi.org/' prefix
- https://doi.org/10.1016/j.crmeth.2021.100071 is INVALID because of 'https://doi.org/' prefix
@editorialbot check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1016/B978-0-12-815480-9.00013-X is OK
- 10.1016/S0003-2670(00)85460-4 is OK
- 10.1109/ACCESS.2020.2992063 is OK
- 10.1109/ACCESS.2020.3048309 is OK
- 10.1016/j.knosys.2019.01.017 is OK
- 10.1080/01691864.2022.2035253 is OK
- 10.1080/09544120050135443 is OK
- 10.1016/j.neuroimage.2010.07.034 is OK
- 10.1016/j.crmeth.2021.100071 is OK
- 10.1007/s00034-020-01522-7 is OK
- 10.1016/j.crmeth.2021.100071 is OK
MISSING DOIs
- Errored finding suggestions for "Pixyz: a library for developing deep generative mo...", please try later
- Errored finding suggestions for "Sparse Multi-Channel Variational Autoencoder for t...", please try later
- Errored finding suggestions for "Generalized Multimodal ELBO", please try later
- Errored finding suggestions for "PyTorch: An Imperative Style, High-Performance Dee...", please try later
INVALID DOIs
- None
@editorialbot check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1016/B978-0-12-815480-9.00013-X is OK
- 10.1016/S0003-2670(00)85460-4 is OK
- 10.1109/ACCESS.2020.2992063 is OK
- 10.1109/ACCESS.2020.3048309 is OK
- 10.1016/j.knosys.2019.01.017 is OK
- 10.1080/01691864.2022.2035253 is OK
- 10.1080/09544120050135443 is OK
- 10.1016/j.neuroimage.2010.07.034 is OK
- 10.1016/j.crmeth.2021.100071 is OK
- 10.1007/s00034-020-01522-7 is OK
- 10.1016/j.crmeth.2021.100071 is OK
MISSING DOIs
- Errored finding suggestions for "Multimodal Generative Learning Utilizing Jensen-Sh...", please try later
INVALID DOIs
- None
@editorialbot check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1016/B978-0-12-815480-9.00013-X is OK
- 10.1016/S0003-2670(00)85460-4 is OK
- 10.1109/ACCESS.2020.2992063 is OK
- 10.1109/ACCESS.2020.3048309 is OK
- 10.1016/j.knosys.2019.01.017 is OK
- 10.1080/01691864.2022.2035253 is OK
- 10.48550/ARXIV.1911.03393 is OK
- 10.48550/ARXIV.1611.01891 is OK
- 10.1080/09544120050135443 is OK
- 10.1016/j.neuroimage.2010.07.034 is OK
- 10.1016/j.crmeth.2021.100071 is OK
- 10.1007/s00034-020-01522-7 is OK
- 10.1016/j.crmeth.2021.100071 is OK
MISSING DOIs
- None
INVALID DOIs
- None
Hello! After doing a keyword search in the this list of people, I can suggest the following reviewers (from the bottom of the list upwards):
I do not know them personally, but I hope that they would find reviewing our software interesting.
@alawryaguila - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.
For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!
@editorialbot assign me as editor
Assigned! @arfon is now the editor
@smith42 @thelinuxmaniac @vs74 :wave: would any of you be willing to review this submission for JOSS? The submission under consideration is Multi-view-AE: A Python package for multi-view autoencoder models: https://github.com/alawryaguila/multi-view-AE
The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html
Based on your experience, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out!
Many thanks Arfon
@saran-nns @abhi-glitchhg 👋 would you be willing to review this submission for JOSS? The submission under consideration is Multi-view-AE: A Python package for multi-view autoencoder models: https://github.com/alawryaguila/multi-view-AE
The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html
Based on your experience, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out!
Many thanks Arfon
Update: Have emailed a few potential reviewers directly to try and get this moving.
@arfon yes, i am ready
Im also ready
Amazing, thanks both!
@editorialbot add @abhi-glitchhg as reviewer
@abhi-glitchhg added to the reviewers list!
@editorialbot add @Saran-nns as reviewer
@Saran-nns added to the reviewers list!
@editorialbot start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/5093.
@abhi-glitchhg, @Saran-nns – see you both over in #5093 where the actual review will take place.
ok! thank you.
Submitting author: !--author-handle-->@alawryaguila<!--end-author-handle-- (Ana Lawry Aguila) Repository: https://github.com/alawryaguila/multi-view-AE Branch with paper.md (empty if default branch): joss Version: v1.0.0 Editor: !--editor-->@arfon<!--end-editor-- Reviewers: @abhi-glitchhg, @Saran-nns Managing EiC: George K. Thiruvathukal
Status
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Author instructions
Thanks for submitting your paper to JOSS @alawryaguila. Currently, there isn't a JOSS editor assigned to your paper.
@alawryaguila if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).
Editor instructions
The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type: