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A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach

Ribeiro, C.E., Freitas, Alex A. (2020) A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. In: Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), Article 223. Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020). . IEEE ISBN 978-1-72812-547-3. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:85186)

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Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: machine learning, longitudinal classification, random forests
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Alex Freitas
Date Deposited: 23 Dec 2020 22:09 UTC
Last Modified: 16 Feb 2021 14:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/85186 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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