ABT-SVDD: A method for uncertainty handling in domain adaptation using belief function theory-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

ABT-SVDD: A method for uncertainty handling in domain adaptation using belief function theory

Published:2023-11 Issue: Volume:147 Page:110787
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Moradi Mona,Hamidzadeh Javad^ORCID,Monsefi Reza

Publisher

Elsevier BV

Subject

Software

Reference73 articles.

1. Multi-attention representation network partial domain adaptation for COVID-19 diagnosis;He;Appl. Soft Comput.,2022

2. Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning;Hong;Appl. Soft Comput.,2022

3. A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samples;Ma;Appl. Soft Comput.,2023

4. A deep selective learning network for cross-domain recommendation;Liu;Appl. Soft Comput.,2022

5. A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines;Pan;Reliab. Eng. Syst. Saf.,2022

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