A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer’s Stage Detection-Reference-Cited by-同舟云学术

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A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer’s Stage Detection

Published:2019 Issue: Volume:7 Page:115528-115539
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Afzal Sitara,Maqsood Muazzam^ORCID,Nazir Faria^ORCID,Khan Umair,Aadil Farhan^ORCID,Awan Khalid M^ORCID,Mehmood Irfan,Song Oh-Young

Funder

MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program

Sejong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08786257.pdf?arnumber=8786257

Cited by 86 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. 3-Way hybrid analysis using clinical and magnetic resonance imaging for early diagnosis of Alzheimer’s disease;Brain Research;2024-10

2. Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review;Artificial Intelligence Review;2024-09-05

3. ERABiLNet: enhanced residual attention with bidirectional long short-term memory;Scientific Reports;2024-09-04

4. Investigating the potential of reinforcement learning and deep learning in improving Alzheimer's disease classification;Neurocomputing;2024-09

5. Intelligent Data Processing for Alzheimer's Disease Using Deep Learning;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2024-07-30

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