{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T04:48:37Z","timestamp":1783054117356,"version":"3.54.6"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T00:00:00Z","timestamp":1707350400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T00:00:00Z","timestamp":1707350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s13042-023-02092-1","type":"journal-article","created":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T10:02:42Z","timestamp":1707386562000},"page":"3279-3297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Advancing ASD detection: novel approach integrating attention graph neural networks and crossover boosted meerkat optimization"],"prefix":"10.1007","volume":"15","author":[{"given":"Lipika","family":"Goel","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonam","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avdhesh","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siddhi Nath","family":"Rajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vishan Kumar","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arjun","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradeep","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,8]]},"reference":[{"issue":"4","key":"2092_CR1","doi-asserted-by":"publisher","first-page":"530","DOI":"10.3390\/electronics11040530","volume":"11","author":"IA Ahmed","year":"2022","unstructured":"Ahmed IA, Senan EM, Rassem TH, Ali MA, Shatnawi HSA, Alwazer SM, Alshahrani M (2022) Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques. Electronics 11(4):530","journal-title":"Electronics"},{"key":"2092_CR2","doi-asserted-by":"publisher","first-page":"166509","DOI":"10.1109\/ACCESS.2019.2952609","volume":"7","author":"T Akter","year":"2019","unstructured":"Akter T, Satu MS, Khan MI, Ali MH, Uddin S, Lio P, Quinn JM, Moni MA (2019) Machine learning-based models for early stage detection of autism spectrum disorders. IEEE Access 7:166509\u2013166527","journal-title":"IEEE Access"},{"key":"2092_CR3","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/5766386","author":"S Alam","year":"2022","unstructured":"Alam S, Raja P, Gulzar Y (2022) Investigation of machine learning methods for early prediction of neurodevelopmental disorders in children. Wireless Commun Mobile Comput. https:\/\/doi.org\/10.1155\/2022\/5766386","journal-title":"Wireless Commun Mobile Comput"},{"issue":"1","key":"2092_CR4","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1002\/mp.13901","volume":"47","author":"C Alvarez-Jimenez","year":"2020","unstructured":"Alvarez-Jimenez C, M\u00fanera-Garz\u00f3n N, Zuluaga MA, Velasco NF, Romero E (2020) Autism spectrum disorder characterization in children by capturing local-regional brain changes in MRI. Med Phys 47(1):119\u2013131","journal-title":"Med Phys"},{"issue":"4","key":"2092_CR5","doi-asserted-by":"publisher","first-page":"613","DOI":"10.4218\/etrij.2021-0097","volume":"44","author":"BRG Elshoky","year":"2022","unstructured":"Elshoky BRG, Younis EM, Ali AA, Ibrahim OAS (2022) Comparing automated and non-automated machine learning for autism spectrum disorders classification using facial images. ETRI J 44(4):613\u2013623","journal-title":"ETRI J"},{"issue":"4","key":"2092_CR6","first-page":"297","volume":"15","author":"U Erkan","year":"2019","unstructured":"Erkan U, Thanh DN (2019) Autism spectrum disorder detection with machine learning methods. Curr Psychiatry Res Rev Form 15(4):297\u2013308","journal-title":"Curr Psychiatry Res Rev Form"},{"key":"2092_CR7","doi-asserted-by":"crossref","unstructured":"Eslami T, Raiker JS, Saeed F (2021) Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data. In\u00a0Neural engineering techniques for autism spectrum disorder.\u00a0Academic Press, p. 39\u201354","DOI":"10.1016\/B978-0-12-822822-7.00004-1"},{"key":"2092_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2020.101115","volume":"41","author":"N Goel","year":"2020","unstructured":"Goel N, Grover B, Gupta D, Khanna A, Sharma M (2020) Modified grasshopper optimization algorithm for detection of autism spectrum disorder. Phys Commun 41:101115","journal-title":"Phys Commun"},{"issue":"4","key":"2092_CR9","doi-asserted-by":"publisher","first-page":"861","DOI":"10.3390\/jcm10040861","volume":"10","author":"M Hadders-Algra","year":"2021","unstructured":"Hadders-Algra M (2021) Early diagnostics and early intervention in neurodevelopmental disorders\u2014age-dependent challenges and opportunities. J Clin Med 10(4):861","journal-title":"J Clin Med"},{"key":"2092_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3232490","author":"SM Hasan","year":"2022","unstructured":"Hasan SM, Uddin MP, Al Mamun M, Sharif MI, Ulhaq A, Krishnamoorthy G (2022) A machine learning framework for early-stage detection of autism spectrum disorders. IEEE Access. https:\/\/doi.org\/10.1109\/ACCESS.2022.3232490","journal-title":"IEEE Access"},{"key":"2092_CR11","doi-asserted-by":"crossref","unstructured":"Haweel R, Dekhil O, Shalaby A, Mahmoud A, Ghazal M, Keynton R, Barnes G, El-Baz A (2019) A machine learning approach for grading autism severity levels using task-based functional MRI. In\u00a02019 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, pp. 1\u20135","DOI":"10.1109\/IST48021.2019.9010335"},{"issue":"1","key":"2092_CR12","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1038\/s41398-020-01178-6","volume":"11","author":"CS Hiremath","year":"2021","unstructured":"Hiremath CS, Sagar KJV, Yamini BK, Girimaji AS, Kumar R, Sravanti SL, Padmanabha H, Vykunta Raju KN, Kishore MT, Jacob P, Saini J (2021) Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review. Transl Psychiatry 11(1):42","journal-title":"Transl Psychiatry"},{"key":"2092_CR13","doi-asserted-by":"crossref","unstructured":"Islam S, Akter T, Zakir S, Sabreen S, Hossain MI (2020) Autism spectrum disorder detection in toddlers for early diagnosis using machine learning. In\u00a02020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). IEEE, pp. 1\u20136","DOI":"10.1109\/CSDE50874.2020.9411531"},{"issue":"04","key":"2092_CR14","first-page":"207","volume":"2","author":"P Karunakaran","year":"2020","unstructured":"Karunakaran P, Hamdan YB (2020) Early prediction of autism spectrum disorder by computational approaches to fMRI analysis with early learning technique. J Artif Intell 2(04):207\u2013216","journal-title":"J Artif Intell"},{"issue":"6","key":"2092_CR15","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1080\/20473869.2021.1933730","volume":"68","author":"CJ Kumar","year":"2022","unstructured":"Kumar CJ, Das PR (2022) The diagnosis of ASD using multiple machine learning techniques. Int J Dev Disabilities 68(6):973\u2013983","journal-title":"Int J Dev Disabilities"},{"key":"2092_CR16","doi-asserted-by":"crossref","unstructured":"Li X, Dvornek NC, Zhuang J, Ventola P, Duncan J (2020) Graph embedding using infomax for ASD classification and brain functional difference detection. In\u00a0Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging\u00a011317:1131702. SPIE","DOI":"10.1117\/12.2549451"},{"key":"2092_CR17","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/9340027","author":"M Liao","year":"2022","unstructured":"Liao M, Duan H, Wang G (2022) Application of machine learning techniques to detect the children with autism spectrum disorder. J Healthcare Eng. https:\/\/doi.org\/10.1155\/2022\/9340027","journal-title":"J Healthcare Eng."},{"key":"2092_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.padiff.2022.100378","volume":"5","author":"Y Liu","year":"2022","unstructured":"Liu Y, Zhang X, Chao H (2022) An improved gravitational search algorithm combining with centripetal force. Partial Differ Equ Appl Math 5:100378","journal-title":"Partial Differ Equ Appl Math"},{"key":"2092_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117229","volume":"222","author":"FJ L\u00f3pez-Gonz\u00e1lez","year":"2020","unstructured":"L\u00f3pez-Gonz\u00e1lez FJ, Silva-Rodr\u00edguez J, Paredes-Pacheco J, Ni\u00f1erola-Baiz\u00e1n A, Efthimiou N, Mart\u00edn-Mart\u00edn C, Moscoso A, Ruibal \u00c1, Ro\u00e9-Vellv\u00e9 N, Aguiar P (2020) Intensity normalization methods in brain FDG-PET quantification. Neuroimage 222:117229","journal-title":"Neuroimage"},{"key":"2092_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2021.116184","volume":"94","author":"P Mazumdar","year":"2021","unstructured":"Mazumdar P, Arru G, Battisti F (2021) Early detection of children with autism spectrum disorder based on visual exploration of images. Signal Process Image Commun 94:116184","journal-title":"Signal Process Image Commun"},{"key":"2092_CR21","doi-asserted-by":"publisher","DOI":"10.3389\/fnmol.2022.999605","volume":"15","author":"P Moridian","year":"2022","unstructured":"Moridian P, Ghassemi N, Jafari M, Salloum-Asfar S, Sadeghi D, Khodatars M, Shoeibi A, Khosravi A, Ling SH, Subasi A, Alizadehsani R (2022) Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: a review. Front Mol Neurosci 15:999605","journal-title":"Front Mol Neurosci"},{"key":"2092_CR22","doi-asserted-by":"crossref","unstructured":"Nisar S, Haris M (2023) Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder.\u00a0Mol Psychiatry. pp.1\u201314","DOI":"10.1038\/s41380-023-02060-9"},{"issue":"8","key":"2092_CR23","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1515\/revneuro-2020-0043","volume":"31","author":"HS Nogay","year":"2020","unstructured":"Nogay HS, Adeli H (2020) Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging. Rev Neurosci 31(8):825\u2013841","journal-title":"Rev Neurosci"},{"key":"2092_CR24","doi-asserted-by":"crossref","unstructured":"Omar KS, Mondal P, Khan NS, Rizvi MRK, Islam MN (2019) A machine learning approach to predict autism spectrum disorder. In\u00a02019 International conference on electrical, computer and communication engineering (ECCE), IEEE, pp. 1\u20136","DOI":"10.1109\/ECACE.2019.8679454"},{"key":"2092_CR25","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1016\/j.procs.2020.03.399","volume":"167","author":"S Raj","year":"2020","unstructured":"Raj S, Masood S (2020) Analysis and detection of autism spectrum disorder using machine learning techniques. Procedia Comput Sci 167:994\u20131004","journal-title":"Procedia Comput Sci"},{"key":"2092_CR26","doi-asserted-by":"publisher","first-page":"102181","DOI":"10.1016\/j.nicl.2020.102181","volume":"25","author":"M Raki\u0107","year":"2020","unstructured":"Raki\u0107 M, Cabezas M, Kushibar K, Oliver A, Llad\u00f3 X (2020) Improving the detection of autism spectrum disorder by combining structural and functional MRI information. NeuroImage: Clinical 25:102181","journal-title":"NeuroImage: Clinical"},{"key":"2092_CR27","unstructured":"Ramesh V, Assaf R (2021) Detecting autism spectrum disorders with machine learning models using speech transcripts.\u00a0arXiv preprint arXiv:2110.03281"},{"key":"2092_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42979-021-00776-5","volume":"2","author":"K Vakadkar","year":"2021","unstructured":"Vakadkar K, Purkayastha D, Krishnan D (2021) Detection of autism spectrum disorder in children using machine learning techniques. SN Comput Sci 2:1\u20139","journal-title":"SN Comput Sci"},{"key":"2092_CR29","doi-asserted-by":"publisher","unstructured":"Wang W, Pei Y, Wang SH, Manuel Gorrz J, Zhang YD (2023) PSTCNN: explainable COVID-19 diagnosis using PSO-guided self-tuning CNN.\u00a0Biocell 47(2): 373 https:\/\/doi.org\/10.32604\/biocell.2023.025905","DOI":"10.32604\/biocell.2023.025905"},{"issue":"1","key":"2092_CR30","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1080\/21642583.2022.2045645","volume":"10","author":"W Wang","year":"2022","unstructured":"Wang W, Zhang X, Wang SH, Zhang YD (2022) Covid-19 diagnosis by WE-SAJ. Syst Sci Control Eng 10(1):325\u2013335","journal-title":"Syst Sci Control Eng"},{"key":"2092_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpath.2020.104568","volume":"149","author":"T Wu","year":"2020","unstructured":"Wu T, Wang H, Lu W, Zhai Q, Zhang Q, Yuan W, Gu Z, Zhao J, Zhang H, Chen W (2020) Potential of gut microbiome for detection of autism spectrum disorder. Microb Pathog 149:104568","journal-title":"Microb Pathog"},{"key":"2092_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120482","author":"S Xian","year":"2023","unstructured":"Xian S, Feng X (2023) Meerkat optimization algorithm: A new meta-heuristic optimization algorithm for solving constrained engineering problems. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2023.120482","journal-title":"Expert Syst Appl"},{"key":"2092_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2021.109271","volume":"361","author":"M Xu","year":"2021","unstructured":"Xu M, Calhoun V, Jiang R, Yan W, Sui J (2021) Brain imaging-based machine learning in autism spectrum disorder: methods and applications. J Neurosci Methods 361:109271","journal-title":"J Neurosci Methods"},{"key":"2092_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101859","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Deng L, Zhu H, Wang W, Ren Z, Zhou Q, Lu S, Sun S, Zhu Z, Gorriz JM, Wang S (2023) Deep learning in food category recognition. Inform Fus. https:\/\/doi.org\/10.1016\/j.inffus.2023.101859","journal-title":"Inform Fus"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-02092-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-023-02092-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-02092-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T07:27:23Z","timestamp":1719991643000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-023-02092-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,8]]},"references-count":34,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["2092"],"URL":"https:\/\/doi.org\/10.1007\/s13042-023-02092-1","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,8]]},"assertion":[{"value":"20 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human or animal subjects performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animal rights"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}