GRU-D detects age-specific missing patterns in vital signs.
arXiv research
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A model combines GRU-D for missing data and Neural ODEs for time series continuity.
Multivariate time series data in practical applications, such as health care, geoscience, and biology, are characterized by a variety of missing values. In time series prediction and other related tasks, it has been noted that missing values and their missing patterns are often correlated with the target labels, a.k.a.…
An accurate road surface friction prediction algorithm can enable intelligent transportation systems to share timely road surface condition to the public for increasing the safety of the road users. Previously, scholars developed multiple prediction models for forecasting road surface conditions using historical data. …
Transformers improve Alzheimer's disease progression prediction by accounting for irregular biomarker histories.