InceptionTime vs. Wavelet -- A comparison for time series classification
Daniel Klenkert Daniel Schaeffer Julian Stauch
Neural networks were used to classify infrasound data. Two different
approaches were compared. One based on the direct classification of time series
data, using a custom implementation of the InceptionTime network. For the other
approach, we generated 2D images of the wavelet transformation of the signals,
which were subsequently classified using a ResNet implementation. Choosing
appropriate hyperparameter settings, both achieve a classification accuracy of
above 90 %, with the direct approach reaching 95.2 %.