An efficient binary chimp optimization algorithm for feature selection in biomedical data classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06775-0.pdf
Reference71 articles.
1. Mafarja M, Mirjalili S (2018) Whale optimization approaches for wrapper feature selection. Appl Soft Comput J 62:441–453. https://doi.org/10.1016/j.asoc.2017.11.006
2. Tran B, Xue B, Zhang M (2019) Variable-length particle swarm optimization for feature selection on high-dimensional classification. IEEE Trans Evol Comput 23:473–487. https://doi.org/10.1109/TEVC.2018.2869405
3. Al-Betar MA, Alomari OA, Abu-Romman SM (2020) A TRIZ-inspired bat algorithm for gene selection in cancer classification. Genomics 112:114–126. https://doi.org/10.1016/j.ygeno.2019.09.015
4. Pashaei E, Yilmaz A, Ozen M, Aydin N (2016) A novel method for splice sites prediction using sequence component and hidden Markov model. In: Proceedings of the annual international conference of the IEEE engineering in medicine and biology society, EMBS. Institute of Electrical and Electronics Engineers Inc., pp 3076–3079
5. Too J, Mirjalili S (2021) A hyper learning binary dragonfly algorithm for feature selection: a COVID-19 case study. Knowl Based Syst 212:106553. https://doi.org/10.1016/j.knosys.2020.106553
Cited by 78 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Applications of dynamic feature selection based on augmented white shark optimizer for medical diagnosis;Expert Systems with Applications;2024-12
2. An Improved Binary Walrus Optimizer with Golden Sine Disturbance and Population Regeneration Mechanism to Solve Feature Selection Problems;Biomimetics;2024-08-18
3. An Empirical Study of Nature-Inspired Algorithms for Feature Selection in Medical Applications;Annals of Data Science;2024-08-14
4. Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm;International Journal of Machine Learning and Cybernetics;2024-08-10
5. Social coevolution and Sine chaotic opposition learning Chimp Optimization Algorithm for feature selection;Scientific Reports;2024-07-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3