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Self-Supervised Representation Learning for EEG-Based Detection of Neurodegenerative Diseases

Electroencephalography (EEG) is an important noninvasive diagnostic tool for detecting neurodegenerative disorders. In this context, EEG-based deep learning models show promise due to their ability to capture nonlinear brain dynamics but often suffer from poor generalizability caused by high inter-s...

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Principais autores: Federico Del Pup, Louis Fabrice Tshimanga, Andrea Zanola, Luca Taffarello, Elisa Tentori, Manfredo Atzori
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-12-01
Serier:Applied Sciences
Fag:
EEG
self-supervised learning
contrastive learning
deep learning
artificial intelligence
transformer
Online adgang:https://www.mdpi.com/2076-3417/15/24/13275
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