Saunders, Jack, Freitas, Alex A. (2023) Evaluating a new genetic algorithm for automated machine learning in positive-unlabelled learning. In: Lecture Notes in Computer Science. Proceedings of the 15th International Conference on Artificial Evolution (Evolution Artificielle) (EA 2022). 14091. pp. 42-57. Springer ISBN 978-3-031-42615-5. E-ISBN 978-3-031-42616-2. (doi:10.1007/978-3-031-42616-2_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:106054)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
| Official URL: https://doi.org/10.1007/978-3-031-42616-2_4 |
| Item Type: | Conference or workshop item (Paper) |
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| DOI/Identification number: | 10.1007/978-3-031-42616-2_4 |
| Uncontrolled keywords: | evolutionary algorithms, genetic algorithms, positive-unlabeled learning, classification, machine learning, Auto-ML |
| Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Alex Freitas |
| Date Deposited: | 22 May 2024 20:03 UTC |
| Last Modified: | 05 Nov 2024 13:11 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/106054 (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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