Transferability of coVariance Neural Networks-Reference-Cited by-同舟云学术

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Transferability of coVariance Neural Networks

Published:2024-03 Issue:2 Volume:18 Page:199-215
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Sihag Saurabh¹^ORCID,Mateos Gonzalo²^ORCID,McMillan Corey³,Ribeiro Alejandro¹^ORCID

Affiliation:

1. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

2. Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA

3. Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA

Funder

NSF CCF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/4200690/10584284/10483105-aam.pdf

Reference67 articles.

1. A survey of remote-sensing big data

2. Large-scale electrophysiology: Acquisition, compression, encryption, and storage of big data

3. Feature selection in machine learning: A new perspective

4. Feature selection, L1 vs. L2 regularization, and rotational invariance

5. coVariance neural networks;Sihag,2022

Cited by 1 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. Editorial Introduction for the Special Series (Part I) on AI in Signal & Data Science - Toward Explainable, Reliable, and Sustainable Machine Learning;IEEE Journal of Selected Topics in Signal Processing;2024-03

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