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Cited by 22EEG and Brain-Computer InterfacesGaze Tracking and Assistive TechnologyMachine Learning and ELM

The DOI matches its Crossref record, with a small difference in title or year; 1 of the 1 references it cites were found in a registry or an index.

Weighted extreme learning machine for P300 detection with application to brain computer interface

Kong, Wanzeng, Guo, Shijie, Long, Yanfang, Peng, Yong, Zeng, Hong, Zhang, Xinyu, Zhang, Jianhai·2023·Journal of Ambient Intelligence and Humanized Computing
DOI 10.1007/s12652-018-0840-1
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Cites

  • Toward enhanced p300 speller performance

    Krusienski, D. J., Sellers, E. W., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.07.017 · Cited by 749 · cited 2×

    “…(SVM) (Liu et al. 2010), fisher linear discriminant analysis (FLDA) (Mirghasemi et al. 2006), stepwise linear discriminant analysis (S-WLDA) (Krusienski et al. 2008), Bayesian linear discriminant analysis (BLD-A) (Hoffmann et al. 2008) and neural networks (Zhang et al. 2007a) have already…”

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Metadata

Authors
Kong, W., Guo, S., Long, Y., Peng, Y., Zeng, H., Zhang, X., & Zhang, J.
Affiliations
Hangzhou Dianzi University (CN)
Corresponding author
Kong, Wanzeng
ORCID
Venue
Journal of Ambient Intelligence and Humanized Computing
Publisher
Springer Science and Business Media LLC
Published
2018-05-16
Volume
14
Issue
11
Pages
15545-15555
ISSN
  • 1868-5137 (ISSN-L)
  • 1868-5145
DOI
10.1007/s12652-018-0840-1
OpenAlex
W2803158924
Cited by
22
References
1
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 2 · 2018: 2
FWCI
1.64
Type
journal article
Language
en
Open access
closed
Licence
Locations
Journal of Ambient Intelligence and Humanized Computing (publishedVersion)
Funders
  • Science and technology platform construction project of Fujian science and Technology Department (2015Y2001)
  • National Natural Science Foundation of China (61671193, 61602140)
  • Science and Technology Program of Zhejiang Province (2018C04012)
  • Zhejiang Science and Technology Program (2017C33049)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
Keywords
P300 detection, weighted extreme learning machine, brain-computer interface, P300 speller, EEG classification, oddball paradigm, class imbalance, principal component analysis, character recognition

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CoChat. (2026). Citation check: Weighted extreme learning machine for P300 detection with application to brain computer interface. https://app.cochat.ai/papers/10.1007/s12652-018-0840-1
The paper
Kong, W., Guo, S., Long, Y., Peng, Y., Zeng, H., Zhang, X., & Zhang, J. (2023). Weighted extreme learning machine for P300 detection with application to brain computer interface. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-018-0840-1