Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques-Reference-Cited by-同舟云学术

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Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques

Published:2024 Issue: Volume:12 Page:30638-30652
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Antonacci Yuri¹^ORCID,Toppi Jlenia²^ORCID,Pietrabissa Antonio²,Anzolin Alessandra³^ORCID,Astolfi Laura²^ORCID

Affiliation:

1. Department of Engineering, University of Palermo, Palermo, Italy

2. Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Rome, Italy

3. Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA

Funder

SiciliAn MicronanOTecH Research And Innovation CEnter “SAMOTHRACE,” spoke 3-Università degli Studi di Palermo “S2-COMMs—Micro and Nanotechnologies for Smart and Sustainable Communities,”

Italian Ministry of University and Research—PRIN

Sapienza University of Rome—Progetto di Ateneo 2022

Bit-Brain Award 2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10443359.pdf?arnumber=10443359

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. Assessment of EEG Brain Dynamics in Time and Frequency Domains through Information-Theoretic Measures;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. High-Dimensional MVAR Model Identification Based on Structured Sparsity Penalization;IEEE Signal Processing Letters;2024

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