ml_rsd
Repository containing the work done for publication "Using Machine Learning Explainability Techniques to Examine Drivers of Ground Magnetic Field Localization" by Coughlan et al.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.1%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Repository containing the work done for publication "Using Machine Learning Explainability Techniques to Examine Drivers of Ground Magnetic Field Localization" by Coughlan et al.
Basic Info
- Host: GitHub
- Owner: mikecoughlan
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 16 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
Citation
Owner
- Name: Mike Coughlan
- Login: mikecoughlan
- Kind: user
- Repositories: 4
- Profile: https://github.com/mikecoughlan
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Coughlan" given-names: "Michael" orcid: "https://orcid.org/0000-0003-2620-1954" title: "Software for Using Machine Learning Explainability Techniques to Examine Drivers of Ground Magnetic Field Localization" version: 2.0.0 doi: 10.5281/zenodo.14888555 date-released: 2025-02-18 url: "https://github.com/mikecoughlan/ml_rsd/"
GitHub Events
Total
- Release event: 1
- Push event: 3
- Create event: 2
Last Year
- Release event: 1
- Push event: 3
- Create event: 2