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Found 2 papers, 1 papers with code
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks
Using this insight, we then propose CAT, a model that classifies multivariate ITS by explicitly seeking highly-relevant portions of an input series' timeline.
Stop&Hop: Early Classification of Irregular Time Series
We bridge this gap and study early classification of irregular time series, a new setting for early classifiers that opens doors to more real-world problems.
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