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 978-1-7281-2547-3. (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
Institutional Unit:	Schools > School of Computing
Former Institutional Unit:	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:	20 May 2025 10:25 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/85186 (The current URI for this page, for reference purposes)

University of Kent Author Information

Freitas, Alex A..

Creator's ORCID:	https://orcid.org/0000-0001-9825-4700
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