Model Parameter Generation for Correlated Time Series Forecasting

Publikation

Publikationer pr. år 2018 2018 2021 2021

• 2 Konferenceartikel i proceeding

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2021

  EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting

  Cirstea, R. G., Kieu, T., Guo, C., Yang, B. & Pan, S. J., apr. 2021, Proceedings of the 37th IEEE International Conference on Data Engineering, ICDE 2021. IEEE (Institute of Electrical and Electronics Engineers), s. 1739-1750 12 s. 9458855. (Proceedings - International Conference on Data Engineering, Bind 2021-April).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Temporal Dynamic 100%
  • Neural Network 100%
  • Recurrent Neural Network 66%
  • forecasting accuracy 66%
  • Graph Convolution 66%
  47 Citationer (Scopus)
• 2018

  Correlated Time Series Forecasting using Multi-Task Deep Neural Networks

  Cirstea, R.-G., Micu, D.-V., Muresan, G.-M., Guo, C. & Yang, B., 17 okt. 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. (red.). Association for Computing Machinery (ACM), s. 1527-1530 4 s.

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Deep Neural Network 100%
  • Convolutional Neural Network 100%
  • Multi-task Deep Neural Network 100%
  • Correlated Time Series 100%
  • Recurrent Neural Network 66%
  65 Citationer (Scopus)