{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T05:34:52Z","timestamp":1775367292774,"version":"3.50.1"},"reference-count":305,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"SGS","award":["SP2022\/22"],"award-info":[{"award-number":["SP2022\/22"]}]},{"name":"VSB-Technical University of Ostrava"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tai.2022.3160658","type":"journal-article","created":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T21:38:53Z","timestamp":1647639533000},"page":"973-993","source":"Crossref","is-referenced-by-count":77,"title":["On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges"],"prefix":"10.1109","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6843-4508","authenticated-orcid":false,"given":"Swagatam","family":"Das","sequence":"first","affiliation":[{"name":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4288-6263","authenticated-orcid":false,"given":"Sankha Subhra","family":"Mullick","sequence":"additional","affiliation":[{"name":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3858-7340","authenticated-orcid":false,"given":"Ivan","family":"Zelinka","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculty of Electrical Engineering and Computer Science, V&#x0160;B-TUO, Czech Republic"}]}],"member":"263","reference":[{"key":"ref275","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467305"},{"key":"ref274","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019484"},{"key":"ref277","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.01.065"},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2914680"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aav4962"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abb5824"},{"key":"ref273","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413405"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abg4778"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475302"},{"key":"ref171","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref174","first-page":"566","article-title":"Learning data augmentation strategies for object detection","author":"zoph","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref173","first-page":"6256","article-title":"Unsupervised data augmentation for consistency training","volume":"33","author":"xie","year":"2020","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref176","first-page":"6665","article-title":"Fast AutoAugment","author":"lim","year":"0","journal-title":"Proc 33rd Int Conf Neural Inf Process Syst"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00294"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2958558"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_5"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2932786"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2920246"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.03.002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219948"},{"key":"ref32","first-page":"1","article-title":"One-class ensemble classifier for data imbalance problems","author":"hayashi","year":"2021","journal-title":"Appl Intell"},{"key":"ref31","first-page":"8101","article-title":"Posterior re-calibration for imbalanced datasets","volume":"33","author":"tian","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.06.026"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116051"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.05.077"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.40"},{"key":"ref36","first-page":"539","article-title":"Exploratory undersampling for class-imbalance learning","volume":"39","author":"liu","year":"2008","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.155"},{"key":"ref35","article-title":"Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets","volume":"147","author":"ribeiro","year":"2020","journal-title":"Expert Syst Appl"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-014-1584-2"},{"key":"ref288","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65414-6_30"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3019788"},{"key":"ref286","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01335"},{"key":"ref285","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00798"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093620"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69535-4_21"},{"key":"ref283","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx106"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01413"},{"key":"ref282","first-page":"6468","article-title":"Progressive graph learning for open-set domain adaptation","author":"luo","year":"0","journal-title":"Proc 37th Int Conf Mach Learn"},{"key":"ref281","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06027-1"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2707495"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65414-6_14"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.09.030"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.324"},{"key":"ref182","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00014"},{"key":"ref188","article-title":"BAGAN: Data augmentation with balancing GAN","author":"mariani","year":"2018"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00055"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.119"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.03.007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71249-9_46"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2832648"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.08.062"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-017-0037-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.01.008"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-0074-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-018-0151-6"},{"key":"ref278","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"0","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.11.004"},{"key":"ref279","article-title":"Meta-learning with fewer tasks through task interpolation","author":"yao","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106631"},{"key":"ref293","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3124599"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.10.029"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3633-8"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114301"},{"key":"ref295","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17219"},{"key":"ref297","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00954"},{"key":"ref296","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref299","doi-asserted-by":"publisher","DOI":"10.1038\/s41389-019-0157-8"},{"key":"ref298","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944962"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113026"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006453"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.011"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113264"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.1145\/3373464.3373470"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.075"},{"key":"ref290","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3027509"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.12.043"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2579658"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.01.039"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727503"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/272"},{"key":"ref289","first-page":"1583","article-title":"Dealing with concept drift and class imbalance in multi-label stream classification","author":"spyromitros-xioufis","year":"0","journal-title":"Proc 22nd Int Joint Conf Artif Intell"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107262"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.05.008"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/QRS-C.2016.68"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.07.053"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.05.006"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.107033"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2857546.2857643"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0957-5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00976"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2019.00038"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533053"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-020-10022-7"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01391"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.12.017"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071122"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.064"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.07.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2896409"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2981890"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.749"},{"key":"ref8","first-page":"111","article-title":"The class imbalance problem: Significance and strategies","author":"japkowicz","year":"0","journal-title":"Proc Int Conf Artif Intell"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00178"},{"key":"ref7","first-page":"179","article-title":"Addressing the curse of imbalanced training sets: One-sided selection","author":"kubat","year":"0","journal-title":"Proc 14th Int Conf Mach Learn"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.008"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.3233\/XST-16199"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2869298"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2755595"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.10.006"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.03.011"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105292"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487647"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.08.006"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/TSMC.1976.4309452","article-title":"Two modifications of CNN","volume":"smc 6","author":"tomek","year":"1976","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054155"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.03.012"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.07.014"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.03.041"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.081"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3010013"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-012-0295-5"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007737"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.01.032"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114482"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2458858"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014707"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.07.070"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2012.162"},{"key":"ref305","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106223"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11192"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107526"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2751612"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.06.056"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2955086"},{"key":"ref301","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.076"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.06.007"},{"key":"ref300","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00617"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983003"},{"key":"ref303","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_10"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.10.048"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108294"},{"key":"ref197","article-title":"Annealing genetic GAN for minority oversampling","author":"hao","year":"0","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3120642"},{"key":"ref199","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2013"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.135"},{"key":"ref194","first-page":"2921","article-title":"HexaGAN: Generative adversarial nets for real world classification","author":"hwang","year":"0","journal-title":"Proc 16th Int Conf Mach Learn"},{"key":"ref195","first-page":"4487","article-title":"A classification-based study of covariate shift in GAN distributions","author":"santurkar","year":"0","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref196","first-page":"3308","article-title":"VEEGAN: Reducing mode collapse in GANs using implicit variational learning","author":"srivastava","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.04.028"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.088"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9411996"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1145\/3055635.3056643"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.043"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2606104"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.010"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/JCSSE.2015.7219810"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107150"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1145\/2431211.2431215"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.11.099"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.04.052"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.02.004"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015605"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2015.58"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.10.017"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852188"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2461436"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2913859"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.05.020"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.024"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2913673"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2945034"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94295-7_23"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2246188"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.04.045"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.06.013"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2827029"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00077"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/334"},{"key":"ref202","first-page":"14866","article-title":"Generating diverse high-fidelity images with VQ-VAE-2","author":"razavi","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00134"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3047335"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref206","doi-asserted-by":"crossref","first-page":"3573","DOI":"10.1109\/TNNLS.2017.2732482","article-title":"Cost-sensitive learning of deep feature representations from imbalanced data","volume":"29","author":"khan","year":"2018","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00963"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2832629"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00657"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2914471"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00077"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115974"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.055"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.100"},{"key":"ref218","first-page":"7029","article-title":"Learning to model the tail","author":"wang","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01100"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.02.007"},{"key":"ref222","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","author":"cao","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref221","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00019"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72665-4_14"},{"key":"ref228","first-page":"123","article-title":"Precision-recall operating characteristic (P-ROC) curves in imprecise environments","author":"bradley","year":"0","journal-title":"Proc 18th Int Conf Pattern Recognit"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1002\/9781118646106.ch8"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107146"},{"key":"ref225","first-page":"6","article-title":"Why question machine learning evaluation methods (an illustrative review of the shortcomings of current methods)","author":"japkowicz","year":"0","journal-title":"Proc AAAI Workshop Eval Methods Mach Learn"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.040"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_44"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.10.017"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006091"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.01.023"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.12.023"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258364"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2951556"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/ICCITECHN.2018.8631915"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20248-8_10"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6145"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.05.040"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5572-x"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899061"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489053"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.03.002"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.06.020"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3078828"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101831"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.02.023"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107197"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102295"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102272"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/FSKD.2009.608"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007618119488"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0198-y"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2878400"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.02.062"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112918"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3079966"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.09.059"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.05.096"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.12.030"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.06.019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.008"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.07.064"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105768"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106316"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.08.064"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtcvs.2020.04.172"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2917524"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102821"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2021.103957"},{"key":"ref246","article-title":"A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction","volume":"192","author":"hung","year":"2021","journal-title":"Expert Syst Appl"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16122"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.1126\/sciimmunol.abe0367"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2812279"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2018.8780580"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108126"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2974949"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2789428"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.07.076"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.05.035"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2312-x"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2012.212"},{"key":"ref112","first-page":"64","article-title":"Sampling a longer life: Binary versus one-class classification revisited","author":"bellinger","year":"0","journal-title":"Proc 1st Int Workshop Learn Imbalanced Domains Theory Appl"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.08.023"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3123269"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2983365"},{"key":"ref254","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26565-5"},{"key":"ref255","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3112988"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.01.004"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.03.014"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2021.101350"},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3046566"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2019.108855"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref258","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2021.101423"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/9781118646106"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2907070"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-016-0094-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.12.035"},{"key":"ref15","first-page":"1","article-title":"A systematic review on imbalanced data challenges in machine learning: Applications and solutions","volume":"52","author":"kaur","year":"2019","journal-title":"ACM Comput Surv"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1186\/s40537-019-0192-5","article-title":"Survey on deep learning with class imbalance","volume":"6","author":"johnson","year":"2019","journal-title":"J Big Data"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.12.009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00981"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2327805"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001409007326"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939854"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1609\/hcomp.v6i1.13334"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071213"},{"key":"ref116","first-page":"6046","article-title":"Active learning for decision-making from imbalanced observational data","author":"sundin","year":"0","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093475"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCI.2015.7218125"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2293393"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP.2015.7312620"},{"key":"ref123","first-page":"36","article-title":"Addressing overlapping in classification with imbalanced datasets: A first multi-objective approach for feature and instance selection","author":"fern\u00e1ndez","year":"0","journal-title":"Proc Int Conf Intell Data Eng Autom Learn"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-33625-1_16"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1177\/0165551515613226"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.06.019"},{"key":"ref263","doi-asserted-by":"publisher","DOI":"10.1145\/3328795"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3049734"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09138-4"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.045"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/9960713\/09738474.pdf?arnumber=9738474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:10:11Z","timestamp":1755911411000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9738474\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":305,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tai.2022.3160658","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}