Wensi Tang

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification

The size of the receptive field has been one of the most important factors for One Dimensional Convolutional Neural Networks (1D-CNNs) on time series classification tasks. Large efforts have been taken to choose the appropriate receptive field size, for it has a huge influence on the performance and…