{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T17:27:12Z","timestamp":1770830832886,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T00:00:00Z","timestamp":1643155200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T00:00:00Z","timestamp":1643155200000},"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":[[2022,1,26]]},"DOI":"10.1109\/kst53302.2022.9729065","type":"proceedings-article","created":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T15:27:49Z","timestamp":1647012469000},"page":"18-23","source":"Crossref","is-referenced-by-count":15,"title":["Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder"],"prefix":"10.1109","author":[{"given":"Mukrin","family":"Nakhwan","sequence":"first","affiliation":[{"name":"College of Digital Science, Prince of Songkla University,Songkla,Thailand"}]},{"given":"Rakkrit","family":"Duangsoithong","sequence":"additional","affiliation":[{"name":"Prince of Songkla University,Department of Electrical Engineering,Songkla,Thailand"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIIP47207.2019.8985892"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU46091.2019.9003933"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2019.8834503"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/BigComp51126.2021.00048"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICSESS49938.2020.9237748"},{"key":"ref15","author":"dua","year":"2019","journal-title":"UCI Machine Learning Repository"},{"key":"ref16","author":"anderson","year":"2021","journal-title":"cancer classification"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ECTI-CON47248.2019.8955366"},{"key":"ref3","first-page":"264","article-title":"Autoencoder","author":"g\u00e9ron","year":"2017","journal-title":"Hands-on machine learning with scikit-learn and TensorFlow"},{"key":"ref6","first-page":"1","article-title":"Effective data generation for imbalanced learning using Generative Adversarial Net-works","author":"georgios","year":"2017","journal-title":"Expert System with Applications"},{"key":"ref5","first-page":"5","author":"ana","year":"2013","journal-title":"On the Suitability of Resampling Techniques for the Class Imbalance Problem in Credit Scoring"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/PIERS.2018.8598226"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2017.80"},{"key":"ref2","first-page":"1","author":"goodfellow","year":"0","journal-title":"Generative adversarial networks"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.4286565"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363576"}],"event":{"name":"2022 14th International Conference on Knowledge and Smart Technology (KST)","location":"Chon buri, Thailand","start":{"date-parts":[[2022,1,26]]},"end":{"date-parts":[[2022,1,29]]}},"container-title":["2022 14th International Conference on Knowledge and Smart Technology (KST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9727229\/9727230\/09729065.pdf?arnumber=9729065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T16:47:14Z","timestamp":1655225234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9729065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,26]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/kst53302.2022.9729065","relation":{},"subject":[],"published":{"date-parts":[[2022,1,26]]}}}