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FSPL: A Meta–Learning Approach for a Filter and Embedded Feature Selection Pipeline

Open Access
|Mar 2023

Authors

Teddy Lazebnik

t.lazebnik@ucl.ac.uk

Department of Cancer Biology, University College London Cancer Institute, London, UK

Avi Rosenfeld

Department of Computer Science, Jerusalem College of Technology, Jerusalem, Israel
DOI: https://doi.org/10.34768/amcs-2023-0009 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 103 - 115
Submitted on: Feb 17, 2022
Accepted on: Sep 27, 2022
Published on: Mar 29, 2023
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2023 Teddy Lazebnik, Avi Rosenfeld, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.