Binary weighted mean of vectors optimization based type-2 fuzzy-rough for feature selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17580-3.pdf
Reference34 articles.
1. Too J, Mirjalili S (2021) A hyper learning binary dragonfly algorithm for feature selection: A covid-19 case study. Knowl-Based Syst 212:106553
2. Albahli S, Meraj T, Chakraborty C, Rauf HT (2022) Ai-driven deep and handcrafted features selection approach for covid-19 and chest related diseases identification. Multimed Tools App 81(26):37569–37589
3. Bandyopadhyay R, Basu A, Cuevas E, Sarkar R (2021) Harris hawks optimisation with simulated annealing as a deep feature selection method for screening of covid-19 ct-scans. Appl Soft Comput 111:107698
4. Bania RK, Halder A (2021) R-hefs: Rough set based heterogeneous ensemble feature selection method for medical data classification. Artif Intell Med 114:102049
5. Azar AT, Anter AM, Fouad KM (2020) Intelligent system for feature selection based on rough set and chaotic binary grey wolf optimisation. Int J Comput Appl Technol 63(1–2):4–24
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