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A study on feature selection using multi-domain feature extraction for automated k-complex detection.

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Title: A study on feature selection using multi-domain feature extraction for automated k-complex detection.
Authors: Li Y; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China.; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an, Shaanxi, China., Dong X; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China., Song K; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates., Bai X; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China., Li H; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China., Karray F; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.
Source: Frontiers in neuroscience [Front Neurosci] 2023 Sep 08; Vol. 17, pp. 1224784. Date of Electronic Publication: 2023 Sep 08 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A study on feature selection using multi-domain feature extraction for automated k-complex detection.
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  Data: <searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China.; Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an, Shaanxi, China.; Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an, Shaanxi, China.<br /><searchLink fieldCode="AU" term="%22Dong+X%22">Dong X</searchLink>; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China.<br /><searchLink fieldCode="AU" term="%22Song+K%22">Song K</searchLink>; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Bai+X%22">Bai X</searchLink>; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China.<br /><searchLink fieldCode="AU" term="%22Karray+F%22">Karray F</searchLink>; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.
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  Data: <searchLink fieldCode="JN" term="%22101478481%22">Frontiers in neuroscience</searchLink> [Front Neurosci] 2023 Sep 08; Vol. 17, pp. 1224784. <i>Date of Electronic Publication: </i>2023 Sep 08 (<i>Print Publication: </i>2023).
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        Value: 10.3389/fnins.2023.1224784
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              Text: 2023 Sep 08
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