COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals-Reference-Cited by-同舟云学术

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COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Sutradhar Ananda¹,Bidgoli Azam Asilian²,Rahnamayan Shahryar³

Affiliation:

1. Daffodil International University,Department of Computer Science & Engineering,Dhaka,Bangladesh

2. Wilfrid Laurier University,Department of Computer Science,Waterloo,Canada

3. Brock University, St.,Department of Computer Science,Catharines,ON,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612115.pdf?arnumber=10612115

Reference31 articles.

1. Emotion recognition framework using multiple modalities for an effective human–computer interaction

2. Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

3. Maximizing the potential of EEG as a developmental neuroscience tool

4. Data Acquisition and Data Processing using Electroencephalogram in Neuromarketing: A Review

5. Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images

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