Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain

1 code implementation • 9 Oct 2023 • Junru Zhang, Lang Feng, Yang He, Yuhan Wu, Yabo Dong

While one-dimensional convolutional neural networks (1D-CNNs) have been empirically proven effective in time series classification tasks, we find that there remain undesirable outcomes that could arise in their application, motivating us to further investigate and understand their underlying mechanisms.

Time Series Time Series Classification