{"title":"Deep Learning with Data Augmentation to Add Data Around Classification Boundaries","authors":"Hideki Fujinami, G. Kumoi, M. Goto","doi":"10.7232/iems.2021.20.3.384","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":45245,"journal":{"name":"Industrial Engineering and Management Systems","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Engineering and Management Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7232/iems.2021.20.3.384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
期刊介绍：
Industrial Engineering and Management Systems (IEMS) covers all areas of industrial engineering and management sciences including but not limited to, applied statistics & data mining, business & information systems, computational intelligence & optimization, environment & energy, ergonomics & human factors, logistics & transportation, manufacturing systems, planning & scheduling, quality & reliability, supply chain management & inventory systems.
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