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eNauka >  Results >  Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study
Title: Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study
Authors: M. Zivkovic  ; N. Bacanin  ; A. Rakic; J. Arandjelovic; S. Stanojlovic; K. Venkatachalam
Issue Date: 2022
Publication: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India
Type: Conference Paper
Collation: str. 581-588
DOI: 10.1109/ICAISS55157.2022.10011032
Scopus-ID: 2-s2.0-85147546004
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/9234
https://enauka.gov.rs/handle/123456789/715359
URL: https://ieeexplore.ieee.org/document/10011032
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