GEV-NN: A deep neural network architecture for class imbalance problem in binary classification

Author:

Munkhdalai Lkhagvadorj,Munkhdalai Tsendsuren,Ryu Keun Ho

Funder

Ministry of Science, ICT & Future Planning, Republic of Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference55 articles.

1. An empirical comparison of machine-learning methods on bank client credit assessments;Munkhdalai;Sustainability,2019

2. Advanced neural network approach, its explanation with LIME for credit scoring application;Munkhdalai,2019

3. Training deep neural networks on imbalanced data sets;Wang,2016

4. Deep learning fault diagnosis method based on global optimization GAN for unbalanced data;Zhou;Knowl. Based Syst.,2020

5. SMOTE: synthetic minority over-sampling technique;Chawla;J. Artificial Intelligence Res.,2002

Cited by 32 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. Research on the training method of special strength quality of competitive taekwondo based on multi-scale Retinex algorithm under the background of “Internet+”;Journal of Ambient Intelligence and Humanized Computing;2024-07-24

2. Two-phase cost-sensitive-learning-based framework on customer-side quality inspection for TFT-LCD industry;Journal of Intelligent Manufacturing;2024-07-07

3. A Domain-Specific Tool for the Creation of Machine Learning Models with Imbalanced Datasets;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

4. DuNet: A Robust End-to-End Deep Neural Network Framework for Imbalanced Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Automating the production of Machine Learning models for imbalanced datasets - application to Industry 4.0;2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2024-03-11

同舟云学术

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