Multivariate Time Series Classification

Overview

Convolutional and recurrent architectures applied to multivariate sensor streams, where the task is to map a variable-length signal to a discrete label or forecast. The same machinery underpins the trajectory-based localization work, and was also applied to off-site dose prediction for nuclear safety decision making.

Multivariate time series classification

Related publications

  • Off-site Dose Prediction for Decision Making Using Recurrent Neural Networks, ANS Winter Meeting 2019