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JSBchorales
Polyphonic music tasks characterized by multivariate time-series. The analysis is performed in terms of efficiency and prediction accuracy on 4 polyphonic music tasks. -
Piano-midi.de
Polyphonic music tasks characterized by multivariate time-series. The analysis is performed in terms of efficiency and prediction accuracy on 4 polyphonic music tasks. -
Robust Anomaly Detection for Multivariate Time Series
Robust anomaly detection for multivariate time series through stochastic recurrent neural network. -
AUSLAN dataset
The dataset used in the paper is a multivariate time series dataset, consisting of sequences of sign language data, where each signal is a function from {t1, t2,..., tN} to R22. -
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Multivariate Time-Series (MTS) data is crucial in various application fields. With its sequential and multi-source (multiple sensors) properties, MTS data inherently exhibits... -
UCI HAR dataset
The dataset used in this study is the UCI HAR dataset, a collection of acceleration and velocity data from a smartphone's gyroscope. -
Synthetic Multivariate Temporal Dataset
A synthetic multivariate temporal dataset containing dimensions that combine to create a hidden output target.