This is a Tensorflow implementation of Disjoint-CNN for Multivariate Time Series Classification. Additionally, a PyTorch implementation of the 1+1D block is also included. Existing models consider a ...

By comparing the 1D convolution-based models with the Dynamic Time Warping (DTW) distance function, it appears that the underwhelming results stem from the limited expressive power of the 1D ...

Determining time-dependent variables and predicting possible crime intensities with the ARIMA time series model. Predicting the type of crimes that may occur with traditional machine learning models ...

The 3 × 3 convolution is not as powerful as the 1D-MS module in terms of accuracy and parameters. The above experimental results prove that the encoding effect of our designed 1D-MS exceeds that of ...

Time series classification algorithms have been mainly dominated by non-deep learning models. Deep learning for Multivariate Time Series Classification (MTSC) has gained huge interest in recent years.