Multivariate time series data suffer from the problem of missing values, which hinders the
application of many analytical methods. To achieve the accurate imputation of these missing …

Given an extensive, semi-infinite collection of multivariate coevolving data sequences (eg,
sensor/web activity streams) whose observations influence each other, how can we discover …

Deep learning models have recently shown great success in classifying epileptic patients
using EEG recordings. Unfortunately, classification-based methods lack a sound mechanism …

The World Wide Web thrives on intelligent services that depend heavily on accurate time
series forecasting to navigate dynamic and evolving environments. Due to the partially …