{"title":"Self-Configuring Evolutionary Algorithms Based Design of Hybrid Interpretable Machine Learning Models","authors":"P. A. Sherstnev","doi":"10.15405/epct.23021.38","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":408597,"journal":{"name":"European Proceedings of Computers and Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Proceedings of Computers and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15405/epct.23021.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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