Name
Title | ||
|---|---|---|
Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputation |
Abstract | ||
|---|---|---|
•Temporal information is used for accurate estimation.•AE architecture can handle different missing patterns.•Smooth regularization is added for more accurate estimation. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neucom.2020.05.033 | Neurocomputing |
Keywords | DocType | Volume |
Time-series,Missing data,Long short-term memory,Auto-encoder | Journal | 411 |
ISSN | Citations | PageRank |
0925-2312 | 3 | 0.42 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Li | 1 | 475 | 67.20 |
| Linhao Li | 2 | 20 | 2.64 |
| Xianling Li | 3 | 5 | 1.12 |
| Zhiwu Ke | 4 | 3 | 0.42 |
| Qinghua Hu | 5 | 4028 | 171.50 |