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} }