InceptionTime vs Wavelet -- A comparison for time series classification
<|reference_start|>InceptionTime vs Wavelet -- A comparison for time series classification: 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 %.<|reference_end|>
@article{klenkert2024inceptiontime,
    title={InceptionTime vs. Wavelet -- A comparison for time series classification},
    author={Daniel Klenkert, Daniel Schaeffer, Julian Stauch},
    journal={arXiv preprint arXiv:2403.18687},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.18687},
    primaryClass={cs.LG}
}