Closed whedon closed 5 years ago
Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @GregaVrbancic, @sepandhaghighi it looks like you're currently assigned to review this paper :tada:.
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Attempting PDF compilation. Reticulating splines etc...
@whedon check references
Attempting to check references...
OK DOIs
- None
MISSING DOIs
- https://doi.org/10.1109/cvpr.2016.90 may be missing for title: Deep Residual Learning for Image Recognition
- https://doi.org/10.1109/cvprw.2009.5206848 may be missing for title: ImageNet: A Large-Scale Hierarchical Image Database
- https://doi.org/10.1007/978-3-642-35289-8_27 may be missing for title: Training deep and recurrent networks with hessian-free optimization
- https://doi.org/10.1109/iccv.2017.244 may be missing for title: Unpaired image-to-image translation using cycle-consistent adversarial networks
INVALID DOIs
- None
review in progress, would say "accept with minor revisions". added 4 issues, after those are closed, this should be ready to accept silvandeleemput/memcnn/issues/22 silvandeleemput/memcnn/issues/21 silvandeleemput/memcnn/issues/20 silvandeleemput/memcnn/issues/19
@whedon check references
Attempting to check references...
OK DOIs
- 10.1007/978-3-319-46493-0_38 is OK
- 10.1109/cvpr.2016.90 is OK
- 10.1109/cvprw.2009.5206848 is OK
- 10.1007/978-3-642-35289-8_27 is OK
- 10.1109/iccv.2017.244 is OK
MISSING DOIs
- None
INVALID DOIs
- None
another suggestion ;-) silvandeleemput/memcnn/issues/23
@silvandeleemput Thanks for your efforts! @terrytangyuan Looks good to me
Thanks @sepandhaghighi. @GregaVrbancic Any update on the remaining items in the review checklist?
Hi @silvandeleemput @terrytangyuan, sorry for a bit of a delay, I was swamped at work. I finally had time to go through the remaining items from the checklist.
In addition to the already addressed remarks from @sepandhaghighi, @silvandeleemput please take a look at this issue: https://github.com/silvandeleemput/memcnn/issues/24
@terrytangyuan I'm satisfied with the changes made. It looks good to me for publishing.
Thank you!
@silvandeleemput - At this point could you make a new release of this software that includes the changes that have resulted from this review. Then, please make an archive of the software in Zenodo/figshare/other service and update this thread with the DOI of the archive? For the Zenodo/figshare archive, please make sure that:
I can then move forward with accepting the submission.
@sepandhaghighi @GregaVrbancic Thank you both for your time and effort in reviewing this work.
@terrytangyuan I have created a new release of MemCNN (1.0.0) with the changes from the review included and I have uploaded it to Zenodo and saved it as an unpublished upload. The DOI of the archive is: 10.5281/zenodo.3353604
. The title and the authors of the submission are the same as in the paper and should match your requirements.
@whedon set 10.5281/zenodo.3353604 as archive
OK. 10.5281/zenodo.3353604 is the archive.
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
@whedon set 0.3.3 as version
OK. 0.3.3 is the version.
@whedon accept
Attempting dry run of processing paper acceptance...
Check final proof :point_right: https://github.com/openjournals/joss-papers/pull/869
If the paper PDF and Crossref deposit XML look good in https://github.com/openjournals/joss-papers/pull/869, then you can now move forward with accepting the submission by compiling again with the flag deposit=true
e.g.
@whedon accept deposit=true
@openjournals/joss-eics Since this is the first accepted paper I am editing, could you help double check? Also, it looks like @whedon accept deposit=true
can only be done by editors-in-chief so I am handing this over to you now.
@terrytangyuan sure thing. This is the right point to tag us; I do the following:
Also, an explicit @whedon check references
check at the end is helpful, but is not a perfect tool.
The AEiCs will always do these checks when you hand it off to us, but it's certainly helpful for you to take care of any such issues before it gets to us.
@whedon check references
Attempting to check references...
OK DOIs
- 10.1007/978-3-319-46493-0_38 is OK
- 10.1109/cvpr.2016.90 is OK
- 10.1109/cvprw.2009.5206848 is OK
- 10.1007/978-3-642-35289-8_27 is OK
- 10.1109/iccv.2017.244 is OK
MISSING DOIs
- None
INVALID DOIs
- None
@kyleniemeyer @terrytangyuan The Zenodo code archive is now published (MemCNN version 1.0.0) and can be found here: https://zenodo.org/record/3353604#.XT6VqOgzaUk
Thanks @silvandeleemput; can you merge this PR that corrects some references? https://github.com/silvandeleemput/memcnn/pull/25
I'll be looking through the paper itself next.
@kyleniemeyer Thanks! I have merged the PR.
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
Hi @silvandeleemput, for the paper, I've made some edits to in-text citations in https://github.com/silvandeleemput/memcnn/pull/26.
My only other requested change is for you to add, from our list of "what should my paper contain?":
- A summary describing the high-level functionality and purpose of the software for a diverse, non-specialist audience.
Thanks!
@kyleniemeyer We are unsure what exactly is meant with a "non-specialist audience" since it is very likely that people finding this work are at least familiar with neural networks, Python, and/or PyTorch, which should be sufficient to understand the purpose of the library from the paper.
If we are to add the requested change, what section of the paper do you recommend for this?
@silvandeleemput We just ask that all papers try to have a sentence or two at the beginning explaining the purpose in a way such that a reader from a non-expert background could understand (in a shallow way) what the application is.
In your case, you might add one or two sentences at the very beginning explaining classification problems and/or neural networks for a general reader.
@kyleniemeyer Thank you for clarifying your recommendation. We have added a high-level explanation about neural networks to the summary. Additionally, we have also added a missing arxiv URL to the bibliography so that all works have either an URL or DOI.
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
@silvandeleemput looks great to me!
@whedon accept
Attempting dry run of processing paper acceptance...
Check final proof :point_right: https://github.com/openjournals/joss-papers/pull/872
If the paper PDF and Crossref deposit XML look good in https://github.com/openjournals/joss-papers/pull/872, then you can now move forward with accepting the submission by compiling again with the flag deposit=true
e.g.
@whedon accept deposit=true
@whedon accept deposit=true
Submitting author: @silvandeleemput (Sil C. van de Leemput) Repository: https://github.com/silvandeleemput/memcnn Version: 0.3.3 Editor: @terrytangyuan Reviewer: @GregaVrbancic, @sepandhaghighi Archive: 10.5281/zenodo.3353604
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Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
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@GregaVrbancic & @sepandhaghighi, please carry out your review in this issue by updating the checklist below. If you cannot edit the checklist please:
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Review checklist for @GregaVrbancic
Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
paper.md
file include a list of authors with their affiliations?Review checklist for @sepandhaghighi
Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
paper.md
file include a list of authors with their affiliations?