Using a small dataset to classify strength-interactions with an elastic display: a case study for the screening of autism spectrum disorder
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-022-01554-2.pdf
Reference73 articles.
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2. Albinali F, Goodwin MS, Intille SS (2009) Recognizing stereotypical motor movements in the laboratory and classroom. In: Proceedings of the 11th international conference on Ubiquitous computing - Ubicomp ’09, p. 71. ACM Press, New York, New York, USA . https://doi.org/10.1145/1620545.1620555
3. Althnian A, AlSaeed D, Al-Baity H, Samha A, Dris AB, Alzakari N, Abou Elwafa A, Kurdi H (2021) Impact of dataset size on classification performance: an empirical evaluation in the medical domain. Appl Sci 11(2):796 https://doi.org/10.3390/app11020796. https://www.mdpi.com/2076-3417/11/2/796
4. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th edn. Washington, DC
5. Anzulewicz A, Sobota K, Delafield-butt JT (2016) Toward the autism motor signature : gesture patterns during smart tablet gameplay identify children with autism. Nat Publishing Group (August). https://doi.org/10.1038/srep31107
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