Application of Wavelet Transform for Machine Learning Classification of Time Series

Author:

Kirichenko LyudmylaORCID,Pichugina OksanaORCID,Radivilova TamaraORCID,Pavlenko KyryloORCID

Publisher

Springer International Publishing

Reference30 articles.

1. Understanding ResNet50 architecture. https://iq.opengenus.org/resnet50-architecture/

2. ADMIN: A guide for using the wavelet transform in machine learning. https://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/

3. Bagnall, A., Lines, J., Bostrom, A., Large, J., Keogh, E.: The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Disc. 31(3), 606–660 (2016). https://doi.org/10.1007/s10618-016-0483-9

4. Chatfield, C.: The Analysis of Time Series: An Introduction, 6th edn. Chapman and Hall/CRC, London (2003)

5. Cireşan, D.C., Meier, U., Masci, J., Gambardella, L.M., Schmidhuber, J.: Flexible, high performance convolutional neural networks for image classification. In: Proceedings of the Twenty-Second international joint conference on Artificial Intelligence, IJCAI 2011, vol. 2, pp. 1237–1242. AAAI Press (2011)

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