Name
Abstract | ||
|---|---|---|
•DTr-CNN implements time series forecasting transfer learning across different datasets.•DTr-CNN alleviates the problem of lacking labeled target data in time series prediction.•Instead of only fine-tuning, DTr-CNN embeds the transfer phase into feature learning.•DTr-CNN incorporates DTW and JS divergence to evaluate similarity between datasets.•DTr-CNN takes advantages of CNN and applies it to forecasting problems. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2020.107617 | Pattern Recognition |
Keywords | DocType | Volume |
Time series prediction,Deep learning,Transfer learning,Convolutional neural network (CNN) | Journal | 109 |
Issue | ISSN | Citations |
1 | 0031-3203 | 1 |
PageRank | References | Authors |
0.35 | 15 | 2 |