[PRE REVIEW]: EvoVis: Dashboard for visualizing Evolutionary Neural Architecture Search algorithms

[editorialbot]

Submitting author: !--author-handle-->@leadang42<!--end-author-handle-- (Lea Dang) Repository: https://github.com/ankilab/EvoVis.git Branch with paper.md (empty if default branch): Version: v1.0.0 Editor: Pending Reviewers: Pending Managing EiC: Chris Vernon

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.25 s (3476.9 files/s, 36120.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
JSON                           814              1              0           3547
Python                          10            794            938           1932
CSV                             16              0              0            695
CSS                              8             64             13            349
TeX                              1             29              1            250
Markdown                         2             70              0            148
YAML                             1              1              0             19
-------------------------------------------------------------------------------
SUM:                           852            959            952           6940
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Commit count by author:

    12  Lea Dang
     1  Rene Groh
     1  leadang42

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1388

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: Apache License 2.0 (Valid open source OSI approved license)

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- None

🟡 SKIP DOIs

- No DOI given, and none found for title: Neural Architecture Search: Insights from 1000 Pap...
- No DOI given, and none found for title: A Survey on Evolutionary Neural Architecture Searc...
- No DOI given, and none found for title: Evolutionary computing
- No DOI given, and none found for title: A Survey of Advances in Evolutionary Neural Archit...
- No DOI given, and none found for title: Review of optimization techniques
- No DOI given, and none found for title: Evolutionary algorithms
- No DOI given, and none found for title: NSGA-Net: neural architecture search using multi-o...
- No DOI given, and none found for title: Automatically Designing CNN Architectures Using th...
- No DOI given, and none found for title: The Origin of Species by Means of Natural Selectio...
- No DOI given, and none found for title: Neural architecture search: A survey
- No DOI given, and none found for title: Large-Scale Evolution of Image Classifiers
- No DOI given, and none found for title: Efficient Multi-Objective Neural Architecture Sear...
- No DOI given, and none found for title: A comprehensive survey of neural architecture sear...
- No DOI given, and none found for title: Random Search and Reproducibility for Neural Archi...
- No DOI given, and none found for title: Evaluating the search phase of neural architecture...
- No DOI given, and none found for title: A Tour of TensorFlow
- No DOI given, and none found for title: Comparison of experiment tracking frameworks in ma...
- No DOI given, and none found for title: Visualization System for Evolutionary Neural Netwo...
- No DOI given, and none found for title: A Taxonomy of Tools for Reproducible Machine Learn...
- No DOI given, and none found for title: Python current trend applications-an overview
- No DOI given, and none found for title: Neural Architecture Search with Reinforcement Lear...
- No DOI given, and none found for title: Deep learning

❌ MISSING DOIs

- 10.1016/j.jai.2022.100002 may be a valid DOI for title: A survey on computationally efficient neural archi...
- 10.1109/coins57856.2023.10189194 may be a valid DOI for title: End-to-end evolutionary neural architecture search...
- 10.1609/aaai.v33i01.33014780 may be a valid DOI for title: Regularized Evolution for Image Classifier Archite...
- 10.1007/978-3-030-16670-0_13 may be a valid DOI for title: Fast DENSER: Efficient Deep NeuroEvolution
- 10.3390/computation10030037 may be a valid DOI for title: Clustering Analysis for the Pareto Optimal Front i...
- 10.1109/ifsa-scis.2017.8023302 may be a valid DOI for title: Deep convolutional networks for human sketches by ...
- 10.1093/bioinformatics/btv557 may be a valid DOI for title: Cytoscape.js: a graph theory library for visualisa...
- 10.1609/aaai.v35i12.17233 may be a valid DOI for title: Bananas: Bayesian optimization with neural archite...

❌ INVALID DOIs

- None

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[crvernon]

@editorialbot query scope

:wave: @leadang42 - I am going to run this one by our larger editorial board for review to ensure it meets our requirements for substantial scholarly effort. I'll get back in touch ASAP. Thank you!

[editorialbot]

Submission flagged for editorial review.

[anki-xyz]

Background to this paper: This work has been led by @leadang42 and is the result of her BSc thesis. With this tool, we are able to not only monitor the progress of evolutionary neural architecture search but also perform meta analyses on the optimization procedure.

What do we need to do with the missing DOIs? Update the paper?

[crvernon]

@anki-xyz - concerning the DOI, you can ensure that the DOI are present in every reference in the bib file where possible. Thank you!