Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data-Reference-Cited by-同舟云学术

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Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data

Published:2024-06-26 Issue: Volume:4252 Page:112-119
ISSN:
Container-title:2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)
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Author:

Escudero-Arnanz Óscar¹,Sicilia Rosa²,Soguero-Ruiz Cristina¹,Mora-Jiménez Inmaculada¹,Lelli Diana³,Pedone Claudio³,Marques Antonio G.¹

Affiliation:

1. Rey Juan Carlos University,Dept. Signal Theory & Communications, Telematics & Computing Systems,Fuenlabrada,Spain

2. Università Campus Bio-Medico di Roma,Unit of Computer Systems & Bioinformatics,Department of Engineering,Italy

3. Fondazione Policlinico Universitario Campus Bio-Medico,Operative Research Unit of Geriatrics,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10600689/10600715/10600843.pdf?arnumber=10600843

Reference27 articles.

1. Tensor Completion for Estimating Missing Values in Visual Data

2. Exact matrix completion via convex optimization

3. Tensor completion and low-n-rank tensor recovery via convex optimization

4. Low-rank tensor completion by Riemannian optimization

5. Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data

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