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Journals
International Journal of Applied Mathematics and Computer Science
Volume 33 (2023): Issue 1 (March 2023)
Open Access
FSPL: A Meta–Learning Approach for a Filter and Embedded Feature Selection Pipeline
Teddy Lazebnik
Teddy Lazebnik
and
Avi Rosenfeld
Avi Rosenfeld
| Mar 29, 2023
International Journal of Applied Mathematics and Computer Science
Volume 33 (2023): Issue 1 (March 2023)
Image Analysis, Classification and Protection (Special section, pp. 7-70), Marcin Niemiec, Andrzej Dziech and Jakob Wassermann (Eds.)
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Published Online:
Mar 29, 2023
Page range:
103 - 115
Received:
Feb 17, 2022
Accepted:
Sep 27, 2022
DOI:
https://doi.org/10.34768/amcs-2023-0009
Keywords
feature selection pipeline
,
meta-learning
,
no free lunch
,
autoML
,
genetic algorithm
© 2023 Teddy Lazebnik et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Teddy Lazebnik
Department of Cancer Biology, University College London Cancer Institute
London, UK
Avi Rosenfeld
Department of Computer Science, Jerusalem College of Technology
Jerusalem, Israel