30 public datasets

The '30 public datasets' is a benchmark that contains a variety of time series datasets used to evaluate the performance and robustness of methods for analyzing irregular time series data, particularly in the context of handling irregular sampling intervals and missing values.

Papers using 30 public datasets (1)

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data2024 · 6 cites