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ISSN 2575-6206
Original article
Vol. 10, Issue 4, 2026October 18, 2026 CDT

Predicted-gender information in ASD facial-image classification: multitask performance, shuffled-label controls, and representation analysis

Aaryan Verma, Clayton Greenberg, Ph.D,
Autism Spectrum DisorderFacial image classificationPredicted genderMultitask learningGender-specific modelingEfficientNet-B0Representation subspace ablationComputer visionTransfer learningConvolutional Neural Network
Copyright Logoccby-nc-sa-4.0 • https://doi.org/10.64336/001c.172667

Articles in Vol. 10, Issue 4, 2026

Vol. 10, Issue 4, 2026
  • Randomly Wired Neural Networks for IMRT 3D dose prediction in oropharyngeal cancer
    Dev J PakshootraKrithin J PakshootraYong H Lee
  • Engineering immune cells as dynamic therapies: An evolution-guided framework for temporally programmed CAR T cells
    Arushi Saini
  • Artificial Intelligence in genetic healthcare: toward adaptive and systems-level genomic medicine
    Ishanvi TupiliDeekshitha RavipatiKarthik ManguBhumandeep Kour
  • _In-situ_, grafted, and nonselective synthesis of Ag–TiO₂/SBA-15: Differences in catalyst properties and photocatalytic performance
    Woosung Choi
  • Safe host integration in islet tissue engineering for Type 1 Diabetes Mellitus: emerging technologies and a constraint-guided hybrid islet framework
    Wallace Lung
  • Cognitive-congestion language profiling in ADHD: lexical signal auditing and negative-manifold specificity testing
    Sieun Ju
  • Predicted-gender information in ASD facial-image classification: multitask performance, shuffled-label controls, and representation analysis
    Aaryan VermaClayton Greenberg
Journal of High School Science
Verma, Aaryan, and Clayton Greenberg. 2026. “Predicted-Gender Information in ASD Facial-Image Classification: Multitask Performance, Shuffled-Label Controls, and Representation Analysis.” Journal of High School Science 10 (4): 259–87. https://doi.org/10.64336/001c.172667.
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