K-means panning – Developing a new standard in automated MSNA signal recognition with a weakly supervised learning approach

Author:

Nolde Janis M.ORCID,Lugo-Gavidia Leslie MarisolORCID,Carnagarin RevathyORCID,Azzam Omar,Kiuchi Márcio Galindo,Mian Ajmal,Schlaich Markus P.

Funder

Australian Government

Pfizer

National Health and Medical Research Council

Novartis

National Heart Foundation of Australia

Boehringer Ingelheim

Consejo Nacional de Ciencia y Tecnología

Abbott Laboratories

Government of Western Australia

Medtronic

Servier

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference42 articles.

1. State‐of‐the‐Art machine learning techniques aiming to improve patient outcomes pertaining to the cardiovascular system;Sevakula;J. Am. Heart Assoc.,2020

2. Challenges with label quality for supervised learning;Alonso;J. Data Inf. Qual.,2015

3. A survey on semi-supervised learning;van Engelen;Mach. Learn.,2020

4. A survey on data collection for machine learning: a big data - AI integration perspective;Roh;IEEE Trans. Knowl. Data Eng.,2019

5. Unsupervised domain adaptation to classify medical images using zero-bias convolutional auto-encoders and context-based feature augmentation;Ahn;IEEE Trans. Med. Imag.,2020

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. Technology and System of Network Intrusion Detection Based on Big Data;2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2023-02

2. Autoencoded deep features for semi-automatic, weakly supervised physiological signal labelling;Computers in Biology and Medicine;2022-04

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