https://github.com/alagoz/drtsf
DRTSF: A New Feature-Based Framework Using Diverse Representations to Classify Time Series Efficiently and Effectively
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○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 (1.9%) to scientific vocabulary
Keywords
autocorrelation
catch22
dct
derivatives
dwt
fft
time-series-analysis
time-series-classification
time-series-features
transformations
tsfresh
Last synced: 5 months ago
·
JSON representation
Repository
DRTSF: A New Feature-Based Framework Using Diverse Representations to Classify Time Series Efficiently and Effectively
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
autocorrelation
catch22
dct
derivatives
dwt
fft
time-series-analysis
time-series-classification
time-series-features
transformations
tsfresh
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
Owner
- Name: Celal ALAGÖZ
- Login: alagoz
- Kind: user
- Repositories: 1
- Profile: https://github.com/alagoz
GitHub Events
Total
- Watch event: 1
- Public event: 1
- Push event: 6
- Create event: 2
Last Year
- Watch event: 1
- Public event: 1
- Push event: 6
- Create event: 2
Issues and Pull Requests
Last synced: 5 months ago