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High performance EEG signal classification using classifiability and the Twin SVM

Research article (Applied Soft Computing, 2015) · cited 64× · AI/ML
academia openalex:W2030504055
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High performance EEG signal classification using classifiability and the Twin SVM

Summary

High performance EEG signal classification using classifiability and the Twin SVM is a scholarly article[1].

Key Facts

  • High performance EEG signal classification using classifiability and the Twin SVM's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). High performance EEG signal classification using classifiability and the Twin SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-performance-eeg-signal-classification-using-classifiability-and-the-twin-svm
MLA “High performance EEG signal classification using classifiability and the Twin SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-performance-eeg-signal-classification-using-classifiability-and-the-twin-svm.
BibTeX @misc{4ortxyz_high-performance-eeg-signal-classification-using-classifiability-and-the-twin-svm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High performance EEG signal classification using classifiability and the Twin SVM}}, year = {2026}, url = {https://4ort.xyz/entity/high-performance-eeg-signal-classification-using-classifiability-and-the-twin-svm}, note = {Accessed: 2026-05-24}}
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