{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T08:01:01Z","timestamp":1764403261587},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"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":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s12652-023-04641-6","type":"journal-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T18:37:21Z","timestamp":1684867041000},"page":"11273-11284","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Detection of autism spectrum disorder from changing of pupil diameter using multi-modal feature fusion based hybrid CNN model"],"prefix":"10.1007","volume":"14","author":[{"given":"Dilber","family":"\u00c7etinta\u015f","sequence":"first","affiliation":[]},{"given":"Taner","family":"Tuncer","sequence":"additional","affiliation":[]},{"given":"Ahmet","family":"\u00c7\u0131nar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,23]]},"reference":[{"key":"4641_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2022\/8709145","volume":"8709145","author":"WF Alsaade","year":"2022","unstructured":"Alsaade WF, Alzahrani MS (2022) Classification and detection of autism spectrum disorder based on deep learning algorithms. Comput Intell Neurosci 8709145:1\u201310. https:\/\/doi.org\/10.1155\/2022\/8709145","journal-title":"Comput Intell Neurosci"},{"key":"4641_CR2","doi-asserted-by":"publisher","unstructured":"American Psychiatric Association (APA) (2013) [Online]. Cautionary statement for forensic use of DSM-5. In: Diagnostic and statistical manuel of mental disorders (5th ed.), https:\/\/doi.org\/10.1176\/appi.books.9780890425596. Accessed 03 Oct 2022","DOI":"10.1176\/appi.books.9780890425596"},{"issue":"2","key":"4641_CR3","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1002\/dev.20352","volume":"51","author":"CJ Anderson","year":"2009","unstructured":"Anderson CJ, Colombo J (2009) Larger tonic pupil size in young children with autism spectrum disorder. Dev Psychobiol 51(2):207\u2013211. https:\/\/doi.org\/10.1002\/dev.20352","journal-title":"Dev Psychobiol"},{"key":"4641_CR4","doi-asserted-by":"publisher","first-page":"105311","DOI":"10.1016\/j.compbiomed.2022.105311","volume":"143","author":"B Ari","year":"2022","unstructured":"Ari B, Sobahi N, Al\u00e7in \u00d6F, Sengur A, Acharya UR (2022) Accurate detection of autism using Douglas\u2013Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals. Comput Biol Med 143:105311. https:\/\/doi.org\/10.1016\/j.compbiomed.2022.105311","journal-title":"Comput Biol Med"},{"issue":"2","key":"4641_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3539226","volume":"17","author":"A Atyabi","year":"2023","unstructured":"Atyabi A, Shic F, Jiang J, Foster CE, Barney E, Kim M, Li B, Ventola P, Chen CH (2023) Stratification of children with autism spectrum disorder through fusion of temporal information in eye-gaze scan-paths. ACM Trans Knowl Discov Data 17(2):1\u201320. https:\/\/doi.org\/10.1145\/3539226","journal-title":"ACM Trans Knowl Discov Data"},{"key":"4641_CR6","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1007\/978-3-642-14400-4_20","volume-title":"Advances in data mining. Applications and theoretical aspects","author":"B Auffarth","year":"2010","unstructured":"Auffarth B, Lopez M, Cerquides J (2010) Comparison of redundancy and relevance measures for feature selection in tissue classification of CT images. Advances in data mining. Applications and theoretical aspects. Springer, Berlin Heidelberg, pp 248\u2013262. https:\/\/doi.org\/10.1007\/978-3-642-14400-4_20"},{"key":"4641_CR7","doi-asserted-by":"publisher","first-page":"104548","DOI":"10.1016\/j.compbiomed.2021.104548","volume":"134","author":"M Baygin","year":"2021","unstructured":"Baygin M, Dogan S, Tuncer T, Barua PD, Faust O, Arunkumar N, Abdulhay EW, Palmer EE, Acharya UR (2021) Automated ASD detection using hybrid deep lightweight features extracted from EEG signals. Comput Biol Med 134:104548. https:\/\/doi.org\/10.1016\/j.compbiomed.2021.104548","journal-title":"Comput Biol Med"},{"key":"4641_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fgene.2018.00018","volume":"9","author":"XA Bi","year":"2018","unstructured":"Bi XA, Wang Y, Shu Q, Sun Q, Xu Q (2018) Classification of autism spectrum disorder using random support vector machine cluster. Front Genet 9:1\u201310. https:\/\/doi.org\/10.3389\/fgene.2018.00018","journal-title":"Front Genet"},{"key":"4641_CR9","unstructured":"\u00c7a\u011f\u0131ltay K (2011) \u0130nsan Bilgisayar Etkile\u015fimi ve Kullan\u0131labilirlik M\u00fchendisli\u011fi: Teoriden Prati\u011fe\u201d, 1. Bas\u0131m, Ankara: ODT\u00dc Yay\u0131nc\u0131l\u0131k, ISBN: 9789750245961."},{"key":"4641_CR10","doi-asserted-by":"publisher","unstructured":"Carette R, Elbattah M, Cilia F, Dequen G, Gu\u00e9rin J-L, Bosche J (2019) Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths. In: 12th International Joint Conference on Biomedical Engineering Systems and Technologies 103\u2013112. https:\/\/doi.org\/10.5220\/0007402601030112","DOI":"10.5220\/0007402601030112"},{"issue":"1","key":"4641_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.2021.3137605","volume":"45","author":"X Chang","year":"2023","unstructured":"Chang X, Ren P, Xu P, Li Z, Chen X, Hauptmann A (2023) A comprehensive survey of scene graphs: generation and application. IEEE Trans Pattern Anal Mach Intell 45(1):1\u201326. https:\/\/doi.org\/10.1109\/TPAMI.2021.3137605","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"4641_CR12","doi-asserted-by":"publisher","first-page":"e27706","DOI":"10.2196\/27706","volume":"8","author":"F Cilia","year":"2021","unstructured":"Cilia F, Carette R, Elbattah M, Dequen G, Gu\u00e9rin J-L, Bosche J, Vandromme L, Driant BL (2021) Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning. JMIR Hum Factors 8(4):e27706. https:\/\/doi.org\/10.2196\/27706","journal-title":"JMIR Hum Factors"},{"key":"4641_CR13","doi-asserted-by":"publisher","unstructured":"Cilia F, Carette R, Elbattah M, Gu\u00e9rin J, Dequen G (2022) Eye-tracking dataset to support the research on autism spectrum disorder. In: Proceedings of the IJCAI\u2013ECAI Workshop on Scarce Data in Artificial Intelligence for Healthcare (SDAIH). https:\/\/doi.org\/10.21203\/rs.3.rs-2099817\/v1","DOI":"10.21203\/rs.3.rs-2099817\/v1"},{"issue":"11","key":"4641_CR14","doi-asserted-by":"publisher","first-page":"2855","DOI":"10.1016\/j.neuropsychologia.2008.05.003","volume":"46","author":"MR Deborah","year":"2008","unstructured":"Deborah MR, Peter JBH (2008) Viewing it differently: social scene perception in Williams syndrome and Autism. Neuropsychologia 46(11):2855\u20132860. https:\/\/doi.org\/10.1016\/j.neuropsychologia.2008.05.003","journal-title":"Neuropsychologia"},{"key":"4641_CR15","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1111\/j.1365-2788.2008.01142.x","volume":"53","author":"MR Deborah","year":"2009","unstructured":"Deborah MR, Peter JBH (2009) Looking at movies and cartoons: eye-tracking evidence from Williams syndrome and autism. J Intellect Disabil Res 53:169\u2013181. https:\/\/doi.org\/10.1111\/j.1365-2788.2008.01142.x","journal-title":"J Intellect Disabil Res"},{"key":"4641_CR16","doi-asserted-by":"publisher","unstructured":"Elbattah M, Gu\u00e9rin JL, Carette R, Cilia F, Dequen G (2022) Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking. In: Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2022, pp 256\u2013263. https:\/\/doi.org\/10.5220\/0010975500003123","DOI":"10.5220\/0010975500003123"},{"key":"4641_CR17","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.patrec.2020.04.028","volume":"135","author":"D Fabiano","year":"2020","unstructured":"Fabiano D, Canavan S, Agazzi H, Hinduja S, Goldgof D (2020) Gaze-based classification of autism spectrum disorder. Pattern Recogn Lett 135:204\u2013212. https:\/\/doi.org\/10.1016\/j.patrec.2020.04.028","journal-title":"Pattern Recogn Lett"},{"key":"4641_CR18","doi-asserted-by":"publisher","first-page":"108654","DOI":"10.1016\/j.asoc.2022.108654","volume":"120","author":"A Gaspar","year":"2022","unstructured":"Gaspar A, Oliva D, Hinojosa S, Aranguren I, Zaldivar D (2022) An optimized Kernel extreme learning machine for the classification of the autism spectrum disorder by using gaze tracking images. Appl Soft Comput 120:108654. https:\/\/doi.org\/10.1016\/j.asoc.2022.108654","journal-title":"Appl Soft Comput"},{"key":"4641_CR19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-03378-5","author":"N Hadjikhani","year":"2017","unstructured":"Hadjikhani N, \u00c5sberg JJ, Z\u00fcrcher NR, Lassalle A, Guillon Q, Hippolyte L, Billstedt E, Ward N, Lemonnier E, Gillberg C (2017) Look me in the eyes: constraining gaze in the eye-region provokes abnormally high subcortical activation in autism. Sci Rep. https:\/\/doi.org\/10.1038\/s41598-017-03378-5","journal-title":"Sci Rep"},{"key":"4641_CR20","doi-asserted-by":"publisher","first-page":"100570","DOI":"10.1109\/ACCESS.2021.3097606","volume":"9","author":"R Haweel","year":"2021","unstructured":"Haweel R, Shalaby AM, Mahmoud AH, Ghazal M, Seada N, Ghoniemy S, Casanova M, Barnes GN, El-Baz A (2021) A novel grading system for autism severity level using task-based functional MRI: a response to speech study. IEEE Access 9:100570\u2013100582. https:\/\/doi.org\/10.1109\/ACCESS.2021.3097606","journal-title":"IEEE Access"},{"key":"4641_CR21","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.cogsys.2021.10.002","volume":"71","author":"R Kashef","year":"2022","unstructured":"Kashef R (2022) ECNN: enhanced convolutional neural network for efficient diagnosis of autism spectrum disorder. Cogn Syst Res 71:41\u201349. https:\/\/doi.org\/10.1016\/j.cogsys.2021.10.002","journal-title":"Cogn Syst Res"},{"issue":"1","key":"4641_CR22","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.biopsych.2014.11.001","volume":"77","author":"YS Kim","year":"2015","unstructured":"Kim YS, Leventhal BL (2015) Genetic epidemiology and insights into interactive genetic and environmental effects in autism spectrum disorders. Biol Psychiat 77(1):66\u201374. https:\/\/doi.org\/10.1016\/j.biopsych.2014.11.001","journal-title":"Biol Psychiat"},{"issue":"12","key":"4641_CR23","doi-asserted-by":"publisher","first-page":"6323","DOI":"10.1109\/TNNLS.2018.2829867","volume":"29","author":"Z Li","year":"2018","unstructured":"Li Z, Nie F, Chang X, Yang Y, Zhang C, Sebe N (2018) Dynamic affinity graph construction for spectral clustering using multiple features. IEEE Trans Neural Netw Learn Syst 29(12):6323\u20136332. https:\/\/doi.org\/10.1109\/TNNLS.2018.2829867","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"4641_CR24","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.neucom.2019.05.106","volume":"390","author":"J Li","year":"2020","unstructured":"Li J, Zhong Y, Han J, Ouyang G, Li X, Liu H (2020a) Classifying ASD children with LSTM based on raw videos. Neurocomputing 390:226\u2013238. https:\/\/doi.org\/10.1016\/j.neucom.2019.05.106","journal-title":"Neurocomputing"},{"key":"4641_CR25","doi-asserted-by":"publisher","first-page":"4931","DOI":"10.1007\/s11042-018-7071-5","volume":"79","author":"Z Li","year":"2020","unstructured":"Li Z, Jiao W, Xu P, Liu B, Zhao X (2020b) Random linear interpolation data augmentation for person re-identification. Multimed Tool Appl 79:4931\u20134947. https:\/\/doi.org\/10.1007\/s11042-018-7071-5","journal-title":"Multimed Tool Appl"},{"issue":"3","key":"4641_CR26","doi-asserted-by":"publisher","first-page":"3918","DOI":"10.1109\/TPAMI.2022.3181116","volume":"45","author":"M Li","year":"2023","unstructured":"Li M, Huang P-Y, Chang X, Hu J, Yang Y, Hauptmann A (2023) Video pivoting unsupervised multi-modal machine translation. IEEE Trans Pattern Anal Mach Intell 45(3):3918\u20133932. https:\/\/doi.org\/10.1109\/TPAMI.2022.3181116","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"4641_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.15585\/mmwr.ss6706a1","volume":"69","author":"MJ Maenner","year":"2020","unstructured":"Maenner MJ, Shaw KA, Baio J (2020) Prevalence of autism spectrum disorder among children aged 8 years\u2014autism and developmental disabilities monitoring network. MMWR Surveill Summ 69(4):1\u201323. https:\/\/doi.org\/10.15585\/mmwr.ss6706a1","journal-title":"MMWR Surveill Summ"},{"issue":"8","key":"4641_CR28","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1016\/j.jpsychires.2011.01.008","volume":"45","author":"J Martineau","year":"2011","unstructured":"Martineau J, Hernandez N, Hiebel L, Roch\u00e9 L, Metzger A, Bonnet-Brilhault F (2011) Can pupil size and pupil responses during visual scanning contribute to the diagnosis of autism spectrum disorder in children. J Psychiatr Res 45(8):1077\u20131082. https:\/\/doi.org\/10.1016\/j.jpsychires.2011.01.008","journal-title":"J Psychiatr Res"},{"key":"4641_CR29","doi-asserted-by":"publisher","first-page":"617190","DOI":"10.1155\/2015\/617190","volume":"2015","author":"S Matsuda","year":"2015","unstructured":"Matsuda S, Minagawa Y, Yamamoto J (2015) Gaze behavior of children with ASD toward pictures of facial expressions. Autism Res Treat 2015:617190. https:\/\/doi.org\/10.1155\/2015\/617190","journal-title":"Autism Res Treat"},{"issue":"2","key":"4641_CR30","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.rasd.2007.08.002","volume":"2","author":"CA Mazefsky","year":"2008","unstructured":"Mazefsky CA, Goin-Kochel RP, Riley BP, Maes HH (2008) Genetic and environmental influences on symptom domains in twins and siblings with autism. Res Autism Spectr Disord 2(2):320\u2013331. https:\/\/doi.org\/10.1016\/j.rasd.2007.08.002","journal-title":"Res Autism Spectr Disord"},{"key":"4641_CR31","doi-asserted-by":"publisher","first-page":"116184","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. https:\/\/doi.org\/10.1016\/j.image.2021.116184","journal-title":"Signal Process Image Commun"},{"issue":"10","key":"4641_CR32","first-page":"1","volume":"5","author":"ME Memeto\u011flu","year":"2022","unstructured":"Memeto\u011flu ME (2022) G\u00f6zler Beynin Aynas\u0131d\u0131r: Pupilometri ve Psikolojideki Uygulamalar\u0131. T\u00fcrkiye B\u00fct\u00fcnc\u00fcl Psikoterapi Dergisi 5(10):1\u20138","journal-title":"T\u00fcrkiye B\u00fct\u00fcnc\u00fcl Psikoterapi Dergisi"},{"key":"4641_CR33","doi-asserted-by":"publisher","first-page":"101287","DOI":"10.1016\/j.csl.2021.101287","volume":"72","author":"A Mohanta","year":"2022","unstructured":"Mohanta A, Vinay KM (2022) Analysis and classification of speech sounds of children with autism spectrum disorder using acoustic features. Comput Speech Lang 72:101287. https:\/\/doi.org\/10.1016\/j.csl.2021.101287","journal-title":"Comput Speech Lang"},{"key":"4641_CR34","doi-asserted-by":"publisher","first-page":"104234","DOI":"10.1016\/j.bspc.2022.104234","volume":"79","author":"HS Nogay","year":"2023","unstructured":"Nogay HS, Adeli H (2023) Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks. Biomed Signal Process Control 79:104234. https:\/\/doi.org\/10.1016\/j.bspc.2022.104234","journal-title":"Biomed Signal Process Control"},{"key":"4641_CR35","first-page":"134","volume":"2","author":"FB \u00d6zdo\u011fan","year":"2008","unstructured":"\u00d6zdo\u011fan FB (2008) G\u00f6z \u0130zleme ve Pazarlamada Kullan\u0131lmas\u0131 \u00dczerine Kavramsal Bir \u00c7al\u0131\u015fma. Ticaret Ve Turizm E\u011fitim Fak\u00fcltesi Dergisi 2:134\u2013147","journal-title":"Ticaret Ve Turizm E\u011fitim Fak\u00fcltesi Dergisi"},{"issue":"2","key":"4641_CR36","first-page":"57","volume":"4","author":"SG \u00d6zeren","year":"2013","unstructured":"\u00d6zeren SG (2013) Otizm Spektrum Bozuklu\u011fu (OSB) ve Hastal\u0131\u011fa Kan\u0131t Penceresinden Bak\u0131\u015f. ACU Sa\u011fl\u0131k Bil Derg 4(2):57\u201363","journal-title":"ACU Sa\u011fl\u0131k Bil Derg"},{"issue":"9","key":"4641_CR37","doi-asserted-by":"publisher","first-page":"1855","DOI":"10.1016\/j.patcog.2004.03.010","volume":"37","author":"G Pajares","year":"2004","unstructured":"Pajares G, Cruz JM (2004) A wavelet-based image fusion tutorial. Pattern Recogn 37(9):1855\u20131872. https:\/\/doi.org\/10.1016\/j.patcog.2004.03.010","journal-title":"Pattern Recogn"},{"issue":"12","key":"4641_CR38","doi-asserted-by":"publisher","first-page":"6","DOI":"10.5120\/9332-3638","volume":"58","author":"A Prajapati","year":"2012","unstructured":"Prajapati A, Naik S, Mehta S (2012) Evaluation of different image interpolation algorithms. Int J Comput Appl 58(12):6\u201312. https:\/\/doi.org\/10.5120\/9332-3638","journal-title":"Int J Comput Appl"},{"key":"4641_CR39","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130345","author":"KN Praveena","year":"2022","unstructured":"Praveena KN, Mahalakshmi R (2022) Classification of autism spectrum disorder and typically developed children for eye gaze \u0131mage dataset using convolutional neural network. Int J Adv Comput Sci Appl (IJACSA). https:\/\/doi.org\/10.14569\/IJACSA.2022.0130345","journal-title":"Int J Adv Comput Sci Appl (IJACSA)"},{"issue":"5","key":"4641_CR40","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1017\/s0022215100105286","volume":"102","author":"U Rosenhall","year":"1988","unstructured":"Rosenhall U, Johansson E, Gillberg C (1988) Oculomotor findings in autistic children. J Laryngol Otol 102(5):435\u2013439. https:\/\/doi.org\/10.1017\/s0022215100105286","journal-title":"J Laryngol Otol"},{"key":"4641_CR41","unstructured":"Sheppard E, Lohan, KS, Little GE, Bonnar L, Kelly S, Rajendran G (2017) Understanding the difference in pupil dilation between children with and without ASD during a joint attention memory task. \u0130n: Child-Robot Interaction Conference, 1\u20134"},{"issue":"1","key":"4641_CR42","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10803-018-3690-y","volume":"49","author":"G Wan","year":"2019","unstructured":"Wan G, Kong X, Sun B, Yu S, Tu Y, Park J, Lang C, Koh M, Wei Z, Feng Z et al (2019) Applying eye tracking to identify autism spectrum disorder in children. J Autism Dev Disord 49(1):209\u2013215. https:\/\/doi.org\/10.1007\/s10803-018-3690-y","journal-title":"J Autism Dev Disord"},{"key":"4641_CR43","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.ejmp.2019.08.010","volume":"65","author":"C Wang","year":"2019","unstructured":"Wang C, Xiao Z, Wu J (2019) Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data. Phys Med 65:99\u2013105. https:\/\/doi.org\/10.1016\/j.ejmp.2019.08.010","journal-title":"Phys Med"},{"issue":"4","key":"4641_CR44","doi-asserted-by":"publisher","first-page":"518","DOI":"10.3758\/BF03195481","volume":"34","author":"DS Wooding","year":"2002","unstructured":"Wooding DS (2002) Eye movements of large populations: II deriving regions of interest, coverage, and similarity using fixation maps. Behav Res Methods Instrum Comput 34(4):518\u2013528. https:\/\/doi.org\/10.3758\/BF03195481","journal-title":"Behav Res Methods Instrum Comput"},{"issue":"12","key":"4641_CR45","doi-asserted-by":"publisher","first-page":"9733","DOI":"10.1109\/TPAMI.2021.3127346","volume":"44","author":"C Yan","year":"2022","unstructured":"Yan C, Chang X, Li Z, Guan W, Ge Z, Zhu L, Zheng Q (2022) ZeroNAS: differentiable generative adversarial networks search for zero-shot learning. IEEE Trans Pattern Anal Mach Intell 44(12):9733\u20139740. https:\/\/doi.org\/10.1109\/TPAMI.2021.3127346","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"4641_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/brainsci10020099","volume":"10","author":"S Yazdani","year":"2020","unstructured":"Yazdani S, Capuano A, Ghaziuddin M, Colombi C (2020) Exclusion criteria used in early behavioral intervention studies for young children with autism spectrum disorder. Brain Sci 10(2):1\u201322. https:\/\/doi.org\/10.3390\/brainsci10020099","journal-title":"Brain Sci"},{"key":"4641_CR47","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neucom.2021.11.035","volume":"486","author":"E Yu","year":"2022","unstructured":"Yu E, Ma J, Sun J, Chang X, Zhang H, Hauptmann AG (2022) Deep discrete cross-modal hashing with multiple supervision. Neurocomputing 486:215\u2013224. https:\/\/doi.org\/10.1016\/j.neucom.2021.11.035","journal-title":"Neurocomputing"},{"key":"4641_CR48","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-642-24785-9_11","volume":"6667","author":"J Yuan","year":"2011","unstructured":"Yuan J, Shi J, Tai XC, Boykov Y (2011) A study on convex optimization approaches to image fusion. Scale space and variational methods in computer vision. SSVM 2011. Lect Notes Comput Sci 6667:122\u2013133. https:\/\/doi.org\/10.1007\/978-3-642-24785-9_11","journal-title":"Lect Notes Comput Sci"},{"key":"4641_CR49","doi-asserted-by":"publisher","unstructured":"Zheng Z, Yang X, Yu Z, Zheng L,\u00a0Yang Y,\u00a0Kautz J (2019) Joint discriminative and generative learning for person re-identification. https:\/\/arXiv.org\/1904.807223. https:\/\/doi.org\/10.48550\/arXiv.1904.07223","DOI":"10.48550\/arXiv.1904.07223"},{"issue":"5","key":"4641_CR50","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1109\/TNNLS.2019.2920905","volume":"31","author":"R Zhou","year":"2020","unstructured":"Zhou R, Chang X, Shi L, Shen Y-D, Yang Y, Nie F (2020) Person reidentification via multi-feature fusion with adaptive graph learning. IEEE Trans Neural Netw Learn Syst 31(5):1592\u20131601. https:\/\/doi.org\/10.1109\/TNNLS.2019.2920905","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-023-04641-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-023-04641-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-023-04641-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T14:21:10Z","timestamp":1687357270000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-023-04641-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,23]]},"references-count":50,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["4641"],"URL":"https:\/\/doi.org\/10.1007\/s12652-023-04641-6","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,23]]},"assertion":[{"value":"27 December 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None of the authors had a conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}