Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21441-7_4
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3. Chang, Z., Zhang, Y., Chen, W.: Effective adam-optimized LSTM neural network for electricity price forecasting. In: 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS), pp. 245–248. IEEE (2018)
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5. Iwana, B.K., Uchida, S.: An empirical survey of data augmentation for time series classification with neural networks. PLoS ONE 16(7), e0254841 (2021)
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