Lithium exploration targeting through robust variable selection and deep anomaly detection: An integrated application of sparse principal component analysis and stacked autoencoders
{"title":"Lithium exploration targeting through robust variable selection and deep anomaly detection: An integrated application of sparse principal component analysis and stacked autoencoders","authors":"Saeid Esmaeiloghli, Alexandre Lima, Behnam Sadeghi","doi":"10.1016/j.chemer.2024.126111","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":12522,"journal":{"name":"Geochemistry","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geochemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.chemer.2024.126111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}