Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals
Autism spectrum disorder (ASD) is a developmental disease characterised by restricted and repetitive behaviours, as well as difficulty in social communication and interaction, in children. The clinical diagnosis of ASD is reached by behavioural screening, which delays early intervention. Electroence...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/111550/1/Transfer_Learning_and_Hybrid_Deep_Convolutional_Neural_Networks_Models_for_Autism_Spectrum_Disorder_Classification_From_EEG_Signals.pdf |
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