Machine Learning-Based Feature Extraction and Selection-Reference-Cited by-同舟云学术

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Machine Learning-Based Feature Extraction and Selection

Published:2024-07-27 Issue:15 Volume:14 Page:6567
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Ruano-Ordás David¹²^ORCID

Affiliation:

1. CINBIO, Department of Computer Science, ESEI—Escuela Superior de Ingeniería Informática, University of Vigo, 32004 Ourense, Spain

2. SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain

Abstract

Over the last decade, technological advances have brought breakthroughs in the landscape of data management, transmission, processing, and storage [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/2076-3417/14/15/6567/pdf

Reference22 articles.

1. Ruben, M.A., Stosic, M.D., Correale, J., and Blanch-Hartigan, D. (2021). Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship between Technology Use and Nonverbal Decoding Skill. Front. Psychol., 11.

2. When Do Smartphones Displace Face-to-Face Interactions and What to Do about It?;Verduyn;Comput. Hum. Behav.,2021

3. Kemp, S. (2024, July 22). Digital 2023: Global Overview Report. Available online: https://datareportal.com/reports/digital-2023-global-overview-report.

4. Ceci, L. (2024, July 22). Mobile Messaging Users Worldwide 2025. Available online: https://www.statista.com/statistics/483255/number-of-mobile-messaging-users-worldwide/.

5. Mental Health Concerns in the Digital Age;Scott;Int. J. Ment. Health Addict.,2017

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