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Author

Aufa Rafiki

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Open access Sep 2026

A CatBoost-Based Framework for Autism Spectrum Disorder Classification from EEG Signals with Blackman–Harris FIR Filtering

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder marked by impairments in social interaction, communication, and repetitive behavior; early identification remains difficult given its clinical heterogeneity and the subjectivity of conventional diagnosis. This study proposes an EEG-based ASD classification...

Buleun Waladah, Melinda, Yunidar et al. · 0 citations
Open access Jul 2026

Temporal Deep Learning with Multiscale Principal Component Features for Autism Classification from Electroencephalographic Signals

A comparative temporal deep learning framework for EEG-based ASD classification by evaluating principal component analysis (PCA) and multiscale principal component analysis (MS-PCA) as feature representations combined with a recurrent neural network with bidirectional long short-term memory (RNN-BiLSTM) and a temporal...

M. Muliyadi, Melinda, Yuwaldi Away et al. · 0 citations

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