Improvement of emotion recognition from facial images using deep learning and early stopping cross validation
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/s11042-022-12058-0.pdf
Reference59 articles.
1. Al Taee EJ, Jasim QM (2020) Blurred facial expression recognition system by using convolution neural network. Webology, 17(2)
2. Bettadapura V (2012) Face expression recognition and analysis: the state of the art. arXiv:1203.6722
3. Cai J, Chang O, Tang X, Xue C et al (2018) Wei: facial expression recognition method based on sparse batch normalization CNN. In: Proceedings of 37th Chinese control conference. Wuhan
4. Caleanu CD (2013) Fase expression recognition: a brief overview of the last decade. In: 2013 IEEE 8th International symposium applied computational intelligence and informatics (SACI), pp 157–161
5. Chicco D, Jurman G (2020) The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC Genomics, 21. https://doi.org/10.1186/s12864-019-6413-7
Cited by 25 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. Enhancing emotion prediction using deep learning and distributed federated systems with SMOTE oversampling technique;Alexandria Engineering Journal;2024-12
2. Renewable energy stock prices forecast using environmental television newscasts investors’ sentiment;Renewable Energy;2024-09
3. A comprehensive analysis of the artificial neural networks model for predicting monkeypox outbreaks;Heliyon;2024-09
4. Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning;Neural Computing and Applications;2024-08-01
5. An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm;International Journal of Data Science and Analytics;2024-07-08
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