{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:16:29Z","timestamp":1759331789334,"version":"3.37.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,20]],"date-time":"2022-08-20T00:00:00Z","timestamp":1660953600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,20]],"date-time":"2022-08-20T00:00:00Z","timestamp":1660953600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,20]]},"DOI":"10.1109\/case49997.2022.9926707","type":"proceedings-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:58:44Z","timestamp":1667523524000},"page":"1510-1515","source":"Crossref","is-referenced-by-count":2,"title":["Collaborative Discrimination-Enabled Generative Adversarial Network (CoD-GAN) for the Data Augmentation in Imbalanced Classification"],"prefix":"10.1109","author":[{"given":"Ziyang","family":"Zhang","sequence":"first","affiliation":[{"name":"Oklahoma State University,School of Industrial Engineering and Management,Stillwater,USA,OK 74078"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxuan","family":"Li","sequence":"additional","affiliation":[{"name":"Oklahoma State University,School of Industrial Engineering and Management,Stillwater,USA,OK 74078"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenang","family":"Liu","sequence":"additional","affiliation":[{"name":"Oklahoma State University,School of Industrial Engineering and Management,Stillwater,USA,OK 74078"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-06146-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3118635"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1101\/2022.02.02.22270339","article-title":"A Utility-Based Machine Learning-Driven Personalized Lifestyle Recommendation for Cardiovascular Disease Prevention","author":"Dogan","year":"2022"},{"issue":"3","key":"ref4","article-title":"Classification with class imbalance problem","volume":"5","author":"Ali","year":"2013","journal-title":"Int. J. Advance Soft Compu. Appl"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1198\/10618600152418584"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref7","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.21203\/rs.3.rs-1647776\/v1","article-title":"A Self-inspected Adaptive SMOTE Algorithm (SASMOTE) for Highly Imbalanced Data Classification in Healthcare","author":"Kosolwattana","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363678"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.12.030"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.93"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1662133"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510583"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2018.02356"},{"article-title":"Stabilizing GAN training with multiple random projections","year":"2017","author":"Neyshabur","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"article-title":"Dropout-gan: Learning from a dynamic ensemble of discriminators","year":"2018","author":"Mordido","key":"ref17"},{"article-title":"From gan to wgan","year":"2019","author":"Weng","key":"ref18"},{"article-title":"Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation","year":"2020","author":"Powers","key":"ref19"},{"key":"ref20","first-page":"1","article-title":"Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection","volume-title":"Nature Precedings","author":"Little"}],"event":{"name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","start":{"date-parts":[[2022,8,20]]},"location":"Mexico City, Mexico","end":{"date-parts":[[2022,8,24]]}},"container-title":["2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9926286\/9926419\/09926707.pdf?arnumber=9926707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T06:18:10Z","timestamp":1706077090000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9926707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,20]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/case49997.2022.9926707","relation":{},"subject":[],"published":{"date-parts":[[2022,8,20]]}}}