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A new longitudinal classification method based on stacking predictions for separate time points

Provost, Simon, Freitas, Alex A. (2025) A new longitudinal classification method based on stacking predictions for separate time points. In: Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Proceedings, Part I. Lecture Notes in Artificial Intelligence, Vol 16301. . pp. 157-171. Springer ISBN 978-3-032-11401-3. E-ISBN 978-3-032-11402-0. (In press) (doi:10.1007/978-3-032-11402-0_12) (KAR id:112462)

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1007/978-3-032-11402-0_12
Uncontrolled keywords: longitudinal classification, machine learning
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Institutional Unit: Schools > School of Computing
Former Institutional Unit:
There are no former institutional units.
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Alex Freitas
Date Deposited: 20 Dec 2025 14:31 UTC
Last Modified: 20 Dec 2025 14:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/112462 (The current URI for this page, for reference purposes)

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