Correlated Time Series Forecasting using Multi-Task Deep Neural Networks

Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang 0002. Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. In Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal 0001, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang, editors, Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018. pages 1527-1530, ACM, 2018. [doi]

@inproceedings{CirsteaMMG018,
  title = {Correlated Time Series Forecasting using Multi-Task Deep Neural Networks},
  author = {Razvan-Gabriel Cirstea and Darius-Valer Micu and Gabriel-Marcel Muresan and Chenjuan Guo and Bin Yang 0002},
  year = {2018},
  doi = {10.1145/3269206.3269310},
  url = {https://doi.org/10.1145/3269206.3269310},
  researchr = {https://researchr.org/publication/CirsteaMMG018},
  cites = {0},
  citedby = {0},
  pages = {1527-1530},
  booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018},
  editor = {Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal 0001 and Andrei Z. Broder and Mohammed J. Zaki and K. Selçuk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang},
  publisher = {ACM},
  isbn = {978-1-4503-6014-2},
}