Deep transfer learning and explainable AI framework for autism spectrum disorder detection across multiple datasets

Results indicate the efficacy of transfer learning for cross-dataset ASD classification, suggesting the presence of common behavioral indicators despite demographic and data collection differences.

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Publication Details

Journal
Frontiers in Neurology
Published
2026-01-13
DOI
https://doi.org/10.3389/fneur.2025.1617446
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep transfer learning and explainable AI framework for autism spectrum disorder detection across multiple datasets

Shtwai Alsubai
Frontiers in Neurology
Autism Spectrum Disorder Research
article

Deep transfer learning and explainable AI framework for autism spectrum disorder detection across multiple datasets

Shtwai Alsubai
article en

Abstract

Results indicate the efficacy of transfer learning for cross-dataset ASD classification, suggesting the presence of common behavioral indicators despite demographic and data collection differences.

Frontiers in NeurologyVol. 16
Prince Sattam Bin Abdulaziz University (SA), King Salman Center for Disability Research (SA)
Quality Education
Openalex Percentile: Top 89%
Autism Spectrum Disorder Research
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Deep transfer learning and explainable AI framework for autism spectrum disorder detection across multiple datasets — Shtwai Alsubai · Frontiers in Neurology (2026) | TGRS Research Map | TGRS