Correlated Time Series Forecasting using Multi-Task Deep Neural Networks.
Razvan-Gabriel Cirstea|Darius-Valer Micu|Gabriel-Marcel Muresan|Chenjuan Guo|Bin Yang
| Anthology ID: | DBLP:conf/cikm/CirsteaMMG018 |
|---|---|
| Volume: | Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018 |
| Year: | 2018 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1527-1530 |
| URL: | https://doi.org/10.1145/3269206.3269310 |
| DOI: | https://doi.org/10.1145/3269206.3269310 |
| DBLP: | conf/cikm/CirsteaMMG018 |
| BibTeX: |
@inproceedings{cirstea-2018-correlated,
author = {Razvan-Gabriel Cirstea and
Darius-Valer Micu and
Gabriel-Marcel Muresan and
Chenjuan Guo and
Bin Yang},
editor = {Alfredo Cuzzocrea and
James Allan and
Norman W. Paton and
Divesh Srivastava and
Rakesh Agrawal and
Andrei Z. Broder and
Mohammed J. Zaki and
K. Sel\c{c}uk Candan and
Alexandros Labrinidis and
Assaf Schuster and
Haixun Wang},
title = {{Correlated Time Series Forecasting using Multi-Task Deep Neural Networks}},
booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}},
pages = {1527--1530},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3269206.3269310},
doi = {https://doi.org/10.1145/3269206.3269310}
}