An iterative VAE is proposed for cleaning NOAA DART time series, but the claimed improvement over classical methods is supported only by visual inspection of a single station.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation
An iterative VAE is proposed for cleaning NOAA DART time series, but the claimed improvement over classical methods is supported only by visual inspection of a single station.