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Data & statistics on autism spectrum disorder. 2023 [cited 2025 May 19]. Available from: https:\/\/www.cdc.gov\/autism\/data-research\/index.html."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"159","DOI":"10.3390\/brainsci7120159","article-title":"Early detection and intervention of ASD: a European overview","volume":"7","author":"Mag\u00e1n-Maganto","year":"2017","journal-title":"Brain Sci"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"9605","DOI":"10.1038\/s41598-023-35910-1","article-title":"Detection of autism spectrum disorder (ASD) in children and adults using machine learning","volume":"13","author":"Farooq","year":"2023","journal-title":"Sci Rep"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"92","DOI":"10.3390\/computers12050092","article-title":"An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder","volume":"12","author":"Uddin","year":"2023","journal-title":"Computers"},{"key":"ref5","first-page":"20230064","article-title":"Autism spectrum disorder prediction in children using machine learning","volume":"3","author":"Abdelwahab","year":"2024","journal-title":"J Disab Res"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"625","DOI":"10.3390\/info15100625","article-title":"A comparative analysis of automated machine learning tools: a use case for autism spectrum disorder detection","volume":"15","author":"Abbas","year":"2024","journal-title":"Information"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"108196","DOI":"10.1016\/j.cmpb.2024.108196","article-title":"Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN\u2013LSTM model","volume":"250","author":"Xu","year":"2024","journal-title":"Comput Methods Programs Biomed"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"105712","DOI":"10.1016\/j.bspc.2023.105712","article-title":"Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning","volume":"89","author":"Dia","year":"2024","journal-title":"Biomed Signal Process Control"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/s13755-024-00281-y","article-title":"Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing","volume":"12","author":"Rubio-Mart\u00edn","year":"2024","journal-title":"Health Inf Sci Syst"},{"key":"ref10","series-title":"2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)","first-page":"1","article-title":"Predictive approach for Autism detection using computer vision and deep learning","author":"Pandey","year":"2024"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"120613","DOI":"10.1016\/j.eswa.2023.120613","article-title":"Autism spectrum disorder detection and classification using chaotic optimization based Bi-GRU network: an weighted average ensemble model","volume":"230","author":"Loganathan","year":"2023","journal-title":"Expert Syst Appl"},{"key":"ref12","unstructured":"Thabtah F. Autism screening data for toddlers. 2018 [cited 2025 May 19]. Available from: https:\/\/www.kaggle.com\/datasets\/fabdelja\/autism-screening-for-toddlers."},{"key":"ref13","article-title":"Autistic spectrum disorder screening data for children","author":"Thabtah","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref14","article-title":"Autism screening adult","author":"Thabtah","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref15","article-title":"Autistic spectrum disorder screening data for adolescent","author":"Thabtah","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"32150","DOI":"10.1109\/ACCESS.2020.2973219","article-title":"Increasing the performance of machine learning-based IDSs on an imbalanced and up-to-date dataset","volume":"8","author":"Karatas","year":"2020","journal-title":"IEEE Access"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s40745-015-0040-1","article-title":"A comprehensive survey of clustering algorithms","volume":"2","author":"Xu","year":"2015","journal-title":"Ann Data Sci"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"e0210236","DOI":"10.1371\/journal.pone.0210236","article-title":"Clustering algorithms: a comparative approach","volume":"14","author":"Rodriguez","year":"2019","journal-title":"PLoS One"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1646","DOI":"10.3390\/sym16121646","article-title":"Weighted multiview K-means clustering with L2 regularization","volume":"16","author":"Hussain","year":"2024","journal-title":"Symmetry"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"13574","DOI":"10.1109\/ACCESS.2023.3243133","article-title":"Unsupervised multi-view K-means clustering algorithm","volume":"11","author":"Yang","year":"2023","journal-title":"IEEE Access"},{"key":"ref21","first-page":"1301","article-title":"A survey on machine learning: concept, algorithms and applications","volume":"5","author":"Das","year":"2017","journal-title":"Int J Innovat Res Comput Commun Eng"},{"key":"ref22","series-title":"Journal of Physics: Conference Series","article-title":"Machine learning from theory to algorithms: an overview","volume":"1142","author":"Alzubi","year":"2018"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10994-006-6226-1","article-title":"Extremely randomized trees","volume":"63","author":"Geurts","year":"2006","journal-title":"Mach Learn"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1458","DOI":"10.1109\/72.883477","article-title":"Variational Gaussian process classifiers","volume":"11","author":"Gibbs","year":"2000","journal-title":"IEEE Transact Neural Netw"},{"key":"ref25","unstructured":"Tang Y. Deep learning using linear support vector machines. arXiv:1306.0239. 2013."},{"key":"ref26","series-title":"2016 International Conference on Computing, Communication and Automation (ICCCA)","first-page":"133","article-title":"A comparison of linear discriminant analysis and ridge classifier on Twitter data","author":"Singh","year":"2016"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0925-2312(93)90006-O","article-title":"Backpropagation and stochastic gradient descent method","volume":"5","author":"Amari","year":"1993","journal-title":"Neurocomputing"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1177\/1460458218824711","article-title":"A new machine learning model based on induction of rules for autism detection","volume":"26","author":"Thabtah","year":"2020","journal-title":"Health Inform J"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"166509","DOI":"10.1109\/ACCESS.2019.2952609","article-title":"Machine learning-based models for early stage detection of autism spectrum disorders","volume":"7","author":"Akter","year":"2019","journal-title":"IEEE Access"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1016\/j.procs.2020.03.399","article-title":"Analysis and detection of autism spectrum disorder using machine learning techniques","volume":"167","author":"Raj","year":"2020","journal-title":"Procedia Comput Sci"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-2\/TSP_CMC_62643\/TSP_CMC_62643.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:47:11Z","timestamp":1763344031000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n2\/62862"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":30,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.062643","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}