지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.8
- 수록면
- 0 - 0 (0page)
이용수
초록· 키워드
오류제보하기
Autism spectrum disorder (ASD) is a developmental disorder associated with cognitive and neurobehavioral disorders. It affects the person’s behavior and performance. Autism affects verbal and non-verbal communication in social interactions. Early screening and diagnosis of ASD are essential and helpful for early educational planning and treatment, the provision of family support, and for providing appropriate medical support for the child on time. Thus, developing automated methods for diagnosing ASD is becoming an essential need. Herein, we investigate using various machine learning methods to build predictive models for diagnosing ASD in children using facial images. To achieve this, we used an autistic children dataset containing 2936 facial images of children with autism and typical children. In application, we used classical machine learning methods, such as support vector machine and random forest. In addition to using deep-learning methods, we used a state-of-the-art method, that is, automated machine learning (AutoML). We compared the results obtained from the existing techniques. Consequently, we obtained that AutoML achieved the highest performance of approximately 96% accuracy via the Hyperpot and tree-based pipeline optimization tool optimization. Furthermore, AutoML methods enabled us to easily find the best parameter settings without any human efforts for feature engineering.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A Study on Virtual Reality Contents for Parents Education with ASD(Autism Spectrum Disorder) Children
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2018 .06
-
An Automatic Diagnostic Tool for Autism Spectrum Disorder using Structural Magnetic Resonance Imaging and a Tailored Binary Coded Genetic Algorithm
IEIE Transactions on Smart Processing & Computing
2024 .06
-
Generating a Machine Learning Model with a Few Sentences
한국정보과학회 학술발표논문집
2021 .12
-
Assessment Of Robot Training for Social Cognitive Learning
제어로봇시스템학회 국제학술대회 논문집
2016 .10
-
Classification of Autism Spectrum Disorder Based on Facial Images Using the VGG19 Algorithm
Journal of Computing Science and Engineering
2024 .03
-
ASD 선별을 위한 아동의 자유화 반응 특성 분석
재활복지공학회논문지
2022 .05
-
AutoML 프레임워크 성능 비교
대한전자공학회 학술대회
2023 .06
-
자폐성 아동을 위한 국, 공립 특수학교 프로그램 및 시설 기준에 관한 연구 : 영국을 중심으로
대한건축학회 학술발표대회 논문집
2016 .04
-
Automated Machine Learning Pipeline System Based on Beam Search for Electric Power Industry
전기학회논문지
2021 .12
-
Markerless Behavior Monitoring System for Diagnosis Support of Developmental Disorder Symptoms in Children
제어로봇시스템학회 국제학술대회 논문집
2021 .10
-
The Development of Attention Detection Model from Child Behavior for Robot-Assisted Autism Therapy
제어로봇시스템학회 국제학술대회 논문집
2019 .10
-
자폐스펙트럼장애 아동의 음성 특성
재활복지공학회논문지
2020 .08
-
뇌MRI를 이용한 자폐증 환자의 기능적 경향성과 정신과적 증상 사이의 상관 패턴 분석
대한전자공학회 학술대회
2020 .08
-
Diagnosing Reading Disorders based on Eye Movements during Natural Reading
Journal of information and communication convergence engineering
2023 .12
-
자폐 범주성 장애 아동의 눈맞춤과 얼굴표정읽기 기능향상을 위한 행동 중재용 로봇시스템
로봇학회 논문지
2015 .06
-
다변량 통계분석을 통한 뇌 영상 기반 자폐 특성 분석
대한전자공학회 학술대회
2021 .06
-
An Efficient Autism Detection Using Structural Magnetic Resonance Imaging Based on Selective Binary Coded Genetic Algorithm
Journal of Computing Science and Engineering
2023 .09
-
딥러닝을 활용한 자폐 조기 진단: 상동적 행동 탐지
Proceedings of KIIT Conference
2024 .05
-
Comparative Systematic Review of Korea Domestic and International Studies on Sensory Integration Therapy in Patients with Autism Spectrum Disorder
International JOURNAL OF CONTENTS
2019 .09
-
자폐스펙트럼장애 인식 공유로서의 폐교 재활용 설계방안 - 폐교 초등학교 유휴부지를 활용한 치유문화시설 -
대한건축학회논문집
2022 .08
이 논문의 저자 정보
최근 본 자료
댓글(0)
0