Participant-Independent Classification of Autism-Related Visual Attention Patterns from Eye-Tracking Scanpath Images Using a Global-Local Fusion Network.
- DOI
- 10.3390/jemr19040085
- Published
- 2026 Aug 10
- Container
- Journal of eye movement research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/jemr19040085,
title = {Participant-Independent Classification of Autism-Related Visual Attention Patterns from Eye-Tracking Scanpath Images Using a Global-Local Fusion Network.},
author = {Zhang K and Kong J and Zhang J and Zhang S and Chen J},
year = {2026},
journal = {Journal of eye movement research},
doi = {10.3390/jemr19040085},
url = {https://doi.org/10.3390/jemr19040085}
}RIS
TY - JOUR TI - Participant-Independent Classification of Autism-Related Visual Attention Patterns from Eye-Tracking Scanpath Images Using a Global-Local Fusion Network. AU - Zhang K AU - Kong J AU - Zhang J AU - Zhang S AU - Chen J PY - 2026 JO - Journal of eye movement research DO - 10.3390/jemr19040085 UR - https://doi.org/10.3390/jemr19040085 ER -
APA
K, Z., J, K., J, Z., S, Z., & J, C. (2026). Participant-Independent Classification of Autism-Related Visual Attention Patterns from Eye-Tracking Scanpath Images Using a Global-Local Fusion Network.. Journal of eye movement research. https://doi.org/10.3390/jemr19040085
Source records
- pubmed · retrieved 2026-09-27T12:22:09.819Z