Self-Organizing Clustering by Growing-SOM for EEG-based Biometrics-Reference-Cited by-同舟云学术

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Self-Organizing Clustering by Growing-SOM for EEG-based Biometrics

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)
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Author:

Sandoval-Lara Zurisaddai¹,Gómez-Gil Pilar¹,Moreno-Rodríguez J. Carlos²,Ramírez-Cortés Manuel³

Affiliation:

1. National Institute of Astrophysics, Optics and Electronics,Department of Computer Science,Tonantzintla,México

2. Universidad de las Américas, Puebla,Electronics Department,Cholula,México

3. National Institute of Astrophysics, Optics and Electronics,Electronics Department,Tonantzintla,México

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169127/10169124/10169253.pdf?arnumber=10169253

Reference15 articles.

1. TWO-STAGE BIOMETRIC AUTHENTICATION METHOD USING THOUGHT ACTIVITY BRAIN WAVES

2. Biomex-db: A cognitive audiovisual dataset for unimodal and multi-modal biometricsystems;moreno-rodriguez,2021

3. A directed batch growing approach to enhance the topology preservation of self-organizing map

4. User Identification and Verification from a Pair of Simultaneous EEG Channels Using Transform Based Features

5. A new mode of communication between man and his surroundings

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