GATE: A guided approach for time series ensemble forecasting

Author:

Sarkar Md. RaselORCID,Anavatti Sreenatha G.ORCID,Dam TanmoyORCID,Ferdaus Md. MeftahulORCID,Tahtali MuratORCID,Ramasamy Savitha,Pratama MahardhikaORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

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4. Cirstea, R.-G., Micu, D.-V., Muresan, G.-M., Guo, C., & Yang, B. (2018). Correlated time series forecasting using multi-task deep neural networks. In Proceedings of the 27th acm international conference on information and knowledge management (pp. 1527–1530).

5. Developing generative adversarial networks for classification and clustering: overcoming class imbalance and catastrophic forgetting;Dam,2022

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