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Data augmentation using synthetic data for time series classification with deep residual networks

PaperCitations, authors & open-access status

Data augmentation using synthetic data for time series classification with deep residual networks is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 73 citations, 2018 year and green oa status.

73
Citations
2018
Year
green
OA Status

Related on ScholarIQ

Hassan Ismail Fawaz
Author
Lhassane Idoumghar
Author
arXiv (Cornell University)
Journal
Time Series Analysis and Forecasting
Topic
Time Series Analysis and Forecasting
Topic
Anomaly Detection Techniques and Applications
Topic
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