Surrogate Data Source Transfer (SDST): An efficient transfer learning approach for time series forecasting

Hussien, Mostafa, Shoaib, Mohamed, Wu, Di, Nguyen, Kim Khoa and Cheriet, Mohamed. 2024. « Surrogate Data Source Transfer (SDST): An efficient transfer learning approach for time series forecasting ». In IEEE International Conference on Communications (Denver, CO, USA, June 09-13, 2024) pp. 5135-5140. Institute of Electrical and Electronics Engineers Inc..
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Item Type:	Conference proceeding
Professor:	Professor Nguyen, Kim Khoa Cheriet, Mohamed
Affiliation:	Génie électrique, Génie des systèmes
Date Deposited:	26 Sep 2024 18:47
Last Modified:	26 Sep 2024 18:47
URI:	https://espace2.etsmtl.ca/id/eprint/29619

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