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  • 6 Similar Profiles
Time series Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Neural networks Engineering & Materials Science
Analog to digital conversion Engineering & Materials Science
Deep neural networks Engineering & Materials Science
Sensors Engineering & Materials Science
Experiments Engineering & Materials Science

Research Output 2018 2018

  • 1 Article in proceeding
1 Citation (Scopus)

Correlated Time Series Forecasting using Multi-Task Deep Neural Networks

Cirstea, R-G., Micu, D-V., Muresan, G-M., Guo, C. & Yang, B., 17 Oct 2018, CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 1527-1530 4 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Time series
Recurrent neural networks
Neural networks
Analog to digital conversion
Deep neural networks