The best leave-one-out cross-validation results.

<div><p>Background</p><p>Children with high autistic traits often exhibit deficits in drawing, an important skill for social adaptability. Machine learning is a powerful technique for learning predictive models from movement data, so drawing processes and product characterist...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yoshimasa Ohmoto (19862184) (author)
مؤلفون آخرون:	Kazunori Terada (7846913) (author), Hitomi Shimizu (19862187) (author), Akira Imamura (219218) (author), Ryoichiro Iwanaga (19272982) (author), Hirokazu Kumazaki (4512607) (author)
منشور في:	2025
الموضوعات:	Mental Health Biological Sciences not elsewhere classified general population participated predict high levels xlink "> children inverted equilateral triangle specificity values across learning predictive models high autistic traits xlink "> equilateral triangle autistic traits machine learning wider variety social adaptability sensitivity values results demonstrate product characteristics powerful technique pen tip pen tilt pen pressure pen orientation objectively evaluated future studies following order eye movements developed using determine whether assessed using 85 %. 63 girls 100 %.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

The best leave-one-out cross-validation results.

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