Model Parameter Generation for Correlated Time Series Forecasting

Originalsprog	Engelsk
Vejledere	Yang, Bin, Hovedvejleder Guo, Chenjuan, Bivejleder
Status	Udgivet - 2022

Bibliografisk note

Afhandling ikke publiceret.

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Projekter

Projekter pr. år 2018 2018 2021

• 1 Afsluttet

Projekter pr. år

• Astra: Analytics of Time series in spatial networks

  Yang, B. (PI (principal investigator)), Guo, C. (CoPI) & Cirstea, R.-G. (Projektdeltager)

  01/10/2018 → 30/09/2021

  Projekter: Projekt › Forskning

Publikation

Publikationer pr. år 2018 2018 2021 2021

• 2 Konferenceartikel i proceeding

Publikationer pr. år

Publikationer pr. år

• 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)

• 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)

Citationsformater

• APA
• Author
• BIBTEX
• Harvard
• Standard
• RIS
• Vancouver

Cirstea, R.-G. (2022). Model Parameter Generation for Correlated Time Series Forecasting.

Cirstea, Razvan-Gabriel. / Model Parameter Generation for Correlated Time Series Forecasting. 2022.

@misc{8c73dc6c388b4843aed83b028ca2a9b9,

title = "Model Parameter Generation for Correlated Time Series Forecasting",

author = "Razvan-Gabriel Cirstea",

note = "Dissertation not published.",

year = "2022",

language = "English",

}

Cirstea, R-G 2022, 'Model Parameter Generation for Correlated Time Series Forecasting'.

Model Parameter Generation for Correlated Time Series Forecasting. / Cirstea, Razvan-Gabriel.
2022.

Publikation: Ph.d.-afhandling

TY - GEN

T1 - Model Parameter Generation for Correlated Time Series Forecasting

AU - Cirstea, Razvan-Gabriel

N1 - Dissertation not published.

PY - 2022

Y1 - 2022

M3 - PhD thesis

ER -

Cirstea RG. Model Parameter Generation for Correlated Time Series Forecasting. 2022.