Detecting high-functioning autism in adults using eye tracking and machine learning
- Submitting institution
-
University of Wolverhampton
- Unit of assessment
- 26 - Modern Languages and Linguistics
- Output identifier
- 1460
- Type
- D - Journal article
- DOI
-
10.1109/tnsre.2020.2991675
- Title of journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Article number
- -
- First page
- 1254
- Volume
- 28
- Issue
- 6
- ISSN
- 1534-4320
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
