Journal Pre-proof A systematic approach to multi-task learning from time-series data Reem A. Mahmoud, Hazem Hajj, Fadi N. Karameh PII: S1568-4946(20)30524-X DOI: https://doi.org/10.1016/j.asoc.2020.106586 Reference: ASOC 106586 To appear in: Applied Soft Computing Journal Received date : 11 November 2018 Revised date : 17 May 2020 Accepted date : 22 July 2020 Please cite this article as: R.A. Mahmoud, H. Hajj and F.N. Karameh, A systematic approach to multi-task learning from time-series data, Applied Soft Computing Journal (2020), doi: https://doi.org/10.1016/j.asoc.2020.106586. This is a PDF ﬁle of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the deﬁnitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its ﬁnal form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier B.V.