Transformers in Time-Series Analysis: A Tutorial
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-023-02454-8.pdf
Reference111 articles.
1. A.F. Agarap, Deep learning using rectified linear units (relu) (2018). arXiv:1803.08375
2. S. Ahmed, D. Dera, S.U. Hassan, N. Bouaynaya, G. Rasool, Failure detection in deep neural networks for medical imaging. Front. Med. Technol. (2022). https://doi.org/10.3389/fmedt.2022.919046
3. S. Albawi, T.A. Mohammed, S. Al-Zawi. Understanding of a convolutional neural network. in 2017 International Conference on Engineering and Technology (ICET) (IEEE, 2017), pp. 1–6. https://doi.org/10.1109/ICEngTechnol.2017.8308186
4. A.A. Ariyo, A.O. Adewumi, C.K. Ayo, Stock price prediction using the arima model. in 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation (IEEE, 2014), pp. 106–112. https://doi.org/10.1109/UKSim.2014.67
5. K. ArunKumar, D.V. Kalaga, C.M.S. Kumar, M. Kawaji, T.M. Brenza, Forecasting of COVID-19 using deep layer recurrent neural networks (RNNs) with gated recurrent units (GRUs) and long short-term memory (LSTM) cells. Chaos Solitons Fractals 146, 110861 (2021). https://doi.org/10.1016/j.chaos.2021.110861
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