Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation-Reference-Cited by-同舟云学术

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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation

Published:2024-08 Issue:4 Volume:16 Page:1342-1351
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Pilli Raveendra¹^ORCID,Goel Tripti¹^ORCID,Murugan R.¹^ORCID,Tanveer M.²^ORCID,Suganthan P. N.³^ORCID

Affiliation:

1. Biomedical Imaging Lab, National Institute of Technology Silchar, Silchar, Assam, India

2. Department of Mathematics, Indian Institute of Technology Indore, Indore, India

3. KINDI Center for Computing Research, College of Engineering, Qatar University, Doha, Qatar

Funder

Core Research Grant provided by the Science and Engineering Research Board (SERB) for financial assistance

Indian government’s Department of Science and Technology (DST) and Ministry of Electronics and Information Technology

National Supercomputing Mission

Mathematical Research Impact-Centric Support (MATRICS) scheme

Open Access funding was provided by the Qatar National Library

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7274989/10633860/10405861.pdf?arnumber=10405861

Reference39 articles.

1. Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age

2. Effects of aging on brain volumes in healthy individuals across adulthood

3. How old is your brain?

4. Kernelized Random Vector Functional-Link Network

5. k-Nearest Neighbour Classifiers - A Tutorial

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