Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/27039
Title: | Stock Predictor with Graph Laplacian-Based Multi-task Learning |
Authors: | He, J Tran, NH Khushi, M |
Keywords: | federated learning;multi-task learning;graph learning;stock prediction |
Issue Date: | 15-Jun-2022 |
Publisher: | Springer Nature |
Citation: | He, J., Tran, N.H. and Khushi, M. (2022) 'Stock Predictor with Graph Laplacian-Based Multi-task Learning', in Groen, D. et al. (eds.) Computational Science – ICCS 2022. ICCS 2022. (Lecture Notes in Computer Science, vol 13350). Cham, Switzerland, Springer Nature, pp. 541 - 553. doi: 10.1007/978-3-031-08751-6_39. |
URI: | https://bura.brunel.ac.uk/handle/2438/27039 |
DOI: | https://doi.org/10.1007/978-3-031-08751-6_39 |
ISBN: | 978-3-031-08750-9 (pbk) 978-3-031-08751-6 (ebk) |
ISSN: | 0302-9743 |
Other Identifiers: | ORCID iD: Matloob Khushi https://orcid.org/0000-0001-7792-2327 |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Copyright © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. This is a pre-copyedited, author produced version of a book chapter accepted for publication in: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13350, following peer review. The final authenticated version is available online at https://doi.org/10.1007/978-3-031-08751-6_39 (see: https://www.springernature.com/gp/open-research/policies/book-policies). | 572.28 kB | Adobe PDF | View/Open |
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