{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T10:57:04Z","timestamp":1769165824882,"version":"3.49.0"},"reference-count":69,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T00:00:00Z","timestamp":1678233600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T00:00:00Z","timestamp":1678233600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3,8]]},"DOI":"10.1109\/ccwc57344.2023.10099163","type":"proceedings-article","created":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T13:28:01Z","timestamp":1681824481000},"page":"0746-0753","source":"Crossref","is-referenced-by-count":2,"title":["A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets"],"prefix":"10.1109","author":[{"given":"Uma","family":"Chinta","sequence":"first","affiliation":[{"name":"Computer Science and Engineering University of Colorado at Colorado Springs"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adham","family":"Atyabi","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering University of Colorado at Colorado Springs"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/spe.2797"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/s20092639"},{"key":"ref12","article-title":"Neuro-evolutionary models for imbalanced classification problems","author":"al-badarneh","year":"2020","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"key":"ref56","article-title":"Search algorithms for automated hyper-parameter tuning","author":"zahedi","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8893419"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2015.06.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917266"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06012-8"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010099"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1111\/1759-7714.13204"},{"key":"ref11","article-title":"A review on generative adversarial networks: Algorithms, theory, and applications","author":"gui","year":"2021","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref55","first-page":"5389","article-title":"Do imagenet classifiers generalize to imagenet?","author":"recht","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref10","article-title":"Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic)","author":"codella","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2021.1965399"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.06.014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106410"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102289"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-022-02075-2"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-2164-2_19"},{"key":"ref50","article-title":"Deep learning using linear support vector machines","author":"tang","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref46","first-page":"96","article-title":"Navo minority over-sampling technique (nmote): A consistent performance booster on imbalanced datasets","volume":"2","author":"chakrabarty","year":"2020","journal-title":"Journal of Electronics"},{"key":"ref45","article-title":"Deep synthetic minority over-sampling technique","author":"mansourifar","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2016.34"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961784"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3016868"},{"key":"ref41","article-title":"Resnet in resnet: Generalizing residual architectures","author":"targ","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.140207"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/ecs2.3076"},{"key":"ref49","article-title":"Facial expression recognition using convolutional neural networks: state of the art","author":"pramerdorfer","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref8","article-title":"Single model deep learning on imbalanced small datasets for skin lesion classification","author":"yao","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477450"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.161"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66790-4_1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/sam.11538"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.10.004"},{"key":"ref5","article-title":"The neuro bureau preprocessing initiative: open sharing of preprocessed neu-roimaging data and derivatives","volume":"7","author":"craddock","year":"2013","journal-title":"Frontiers in Neuroinformatics"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.03.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-42051-1_16"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"106646","DOI":"10.1016\/j.compag.2021.106646","article-title":"Synthetic minority over-sampling technique (smote) and logistic model tree (lmt)-adaptive boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll sufficiency levels of oil palm (elaeis guineensis) using spectroradiometers and unmanned aerial vehicles","volume":"193","author":"amirruddin","year":"2022","journal-title":"Computers and Electronics in Agriculture"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"55s","DOI":"10.21037\/tp.2019.09.09","article-title":"Autism spectrum disorder: definition, epidemiology, causes, and clinical evaluation","volume":"9","author":"hodges","year":"2020","journal-title":"Transl Pediatrics"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.ss7011a1"},{"key":"ref31","first-page":"1","article-title":"Imbalanced dataset classification and solutions: a review","volume":"5","author":"ramyachitra","year":"2014","journal-title":"International Journal of Computing and Business Research (IJCBR)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5327-0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v14.i3.pp1552-1563"},{"key":"ref32","first-page":"25","article-title":"Handling imbalanced datasets: A review","volume":"30","author":"kotsiantis","year":"2006","journal-title":"GESTS International Transactions on Computer Science and Engineering"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.12.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.08.017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.pcl.2007.02.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174017"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2019.00070"},{"key":"ref23","first-page":"appi","article-title":"The autism biomarkers consortium for clinical trials: initial evaluation of a battery of candidate eeg biomarkers","author":"webb","year":"2022","journal-title":"American Journal of Psychiatry"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0153331"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1186\/s13229-021-00482-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966047"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.399"},{"key":"ref20","article-title":"Stratification of children with autism spectrum disorder through fusion of temporal information in eye-gaze scan-paths","author":"atyabi","year":"2022","journal-title":"ACM Trans Knowl Discov Data"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1177\/1460458218824711"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/s18113876"},{"key":"ref22","first-page":"300","article-title":"Advancing technology to meet the needs of infants and toddlers at risk for autism spectrum disorder, in autism spectrum disorder in the first years of life: Research, assessment, and treatment","author":"shic","year":"2020","journal-title":"The Guilford Press"},{"key":"ref66","article-title":"Face mask detector using machine learning applications","volume":"37","author":"gupta","year":"2022","journal-title":"International Journal of Special Education"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3462244.3479923"},{"key":"ref65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2017.10","article-title":"Enhancing studies of the connectome in autism using the autism brain imaging data exchange ii","volume":"4","author":"di martino","year":"2017","journal-title":"Scientific Data"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.21050485"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1037\/met0000444"},{"key":"ref29","first-page":"8069","article-title":"Behavioral features based autism spectrum disorder detection using decision trees","author":"jagadeesan","year":"2021","journal-title":"Annals of the Romanian Society for Cell Biology"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICIC50835.2020.9288560"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3390\/fi13070164"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcce.2021.02.002"}],"event":{"name":"2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2023,3,8]]},"end":{"date-parts":[[2023,3,11]]}},"container-title":["2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10099037\/10098906\/10099163.pdf?arnumber=10099163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T14:27:02Z","timestamp":1683556022000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10099163\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,8]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/ccwc57344.2023.10099163","relation":{},"subject":[],"published":{"date-parts":[[2023,3,8]]}}}