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Found 4 papers, 2 papers with code
Experimental study of time series forecasting methods for groundwater level prediction
Each time series is made of daily measurements of groundwater levels and two exogenous variables, rainfall and evapotranspiration.
Explainable classification of astronomical uncertain time series
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in astrophysics.
Uncertain Time Series Classification With Shapelet Transform
We then propose the uncertain shapelet transform algorithm for the classification of uncertain time series.
Neurals Networks for Projecting Named Entities from English to Ewondo
This work is a step forward to build a reliable and robust network architecture for named entity projection in low resource languages.
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