Homogeneous ensemble extreme learning machine autoencoder with mutual representation learning and manifold regularization for medical datasets
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province, China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04284-8.pdf
Reference25 articles.
1. Tang C, Liu X, Li M, Wang P, Chen J, Wang L, Li W (2018) Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl Based Syst 145:109–120. https://doi.org/10.1016/j.knosys.2018.01.009
2. Luo T, Yang Y, Yi D, Ye J (2017) Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model. Appl Intell:1–14. https://doi.org/10.1007/s10489-017-1060-7
3. Chen T, Guo Y, Hao S (2020) Unsupervised feature selection based on joint spectral learning and general sparse regression. Neural Comput Appl 32(11):6581–6589. https://doi.org/10.1007/s00521-019-04117-9
4. Zhang Y, Zhang Z, Li S, Qin J, Liu G, Wang M, Yan S (2019) Unsupervised nonnegative adaptive feature extraction for data representation. IEEE Trans Knowl Data Eng 31(12):2423–2440. https://doi.org/10.1109/TKDE.2018.2877746
5. Koohzadi M, Charkari NM, Ghaderi F (2020) Unsupervised representation learning based on the deep multi-view ensemble learning. Appl Intell 50(2):562–581. https://doi.org/10.1007/s10489-019-01526-0
Cited by 2 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. Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting;Applied Intelligence;2024-02
2. Enhancing diversity and robustness of clustering ensemble via reliability weighted measure;Applied Intelligence;2023-11-25
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