CNN-VSR: A Deep Learning Architecture with Validation-Based Stopping Rule for Time Series Classication
Deep learning methods for univariate time series classification (TSC) are recently gaining attention. Especially, convolutional neural network (CNN) is utilized to solve the problem of predicting class labels of time series obtained through various important applications, such as engineering, biomed...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2020.1713454 |