Efficient and effective analytics for real-world time series forecasting

Project: Research

Status	Finished
Effective start/end date	18/02/19 → 31/12/22

Probabilistic causal effect estimation with global neural network forecasting models
Grecov, P., Prasanna, A. N., Ackermann, K., Campbell, S., Scott, D. A., Lubman, D. I. & Bergmeir, C., Apr 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 4, p. 4999-5013 15 p.
Research output: Contribution to journal › Article › Research › peer-review

6 Citations (Scopus)
Adaptive dependency learning graph neural networks
Sriramulu, A., Fourrier, N. & Bergmeir, C., May 2023, In: Information Sciences. 625, p. 700-714 15 p.
Research output: Contribution to journal › Article › Research › peer-review

21 Citations (Scopus)
An accurate and fully-automated ensemble model for weekly time series forecasting
Godahewa, R., Bergmeir, C., Webb, G. I. & Montero-Manso, P., Apr 2023, In: International Journal of Forecasting. 39, 2, p. 641-658 18 p.
Research output: Contribution to journal › Article › Research › peer-review

7 Citations (Scopus)

Project Details