Realising transfer learning through convolutional neural network and support vector machine for mental task classification-Reference-Cited by-同舟云学术

Realising transfer learning through convolutional neural network and support vector machine for mental task classification

Published:2020-11-03 Issue:25 Volume:56 Page:1375-1378
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Singh D.¹,Singh S.²

Affiliation:

1. Department of Computer Science and EngineeringBennett UniversityGreater Noida201310India

2. Department of Computer Science and EngineeringMATS UniversityRaipur492004India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2020.2632

Reference14 articles.

1. WuD.PengR.HuangJ.et al.: ‘Transfer learning for brain‐computer interfaces: a complete pipeline’ 2020 pp.1–9. Available athttp://arxiv.org/abs/2007.03746

2. A novel approach for classification of mental tasks using multiview ensemble learning (MEL)

3. Feature extraction and classification of EEG signal using neural network based techniques;Nandish M.;Int. J. Eng. Innov. Technol.,2012

4. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification

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