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https://github.com/boniolp/MSAD
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
https://github.com/boniolp/MSAD
anomaly-detection anomalydetection benchmark convolutional-neural-networks dataset deep-learning deep-neural-networks feature-based machine-learning model-selection resnet time-series time-series-analysis time-series-classification timeseries transformer
Last synced: about 2 months ago
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[VLDB 2023] Model Selection for Anomaly Detection in Time Series
- Host: GitHub
- URL: https://github.com/boniolp/MSAD
- Owner: boniolp
- License: mit
- Created: 2023-02-14T14:07:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-29T12:06:45.000Z (6 months ago)
- Last Synced: 2024-06-01T16:14:45.669Z (4 months ago)
- Topics: anomaly-detection, anomalydetection, benchmark, convolutional-neural-networks, dataset, deep-learning, deep-neural-networks, feature-based, machine-learning, model-selection, resnet, time-series, time-series-analysis, time-series-classification, timeseries, transformer
- Language: Jupyter Notebook
- Homepage: https://adecimots.streamlit.app/
- Size: 67.3 MB
- Stars: 20
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE