{"title":"Tolerated outlier prediction method of excavation damaged zone thickness of drift based on interpretable SOA-QRF ensemble learning","authors":"Yaxi Shen, Shunchuan Wu, Yongbing Wang, Jiaxin Wang, Shuxian Wang, Shigui Huang","doi":"10.1080/17499518.2024.2337387","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":508895,"journal":{"name":"Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards","volume":"10 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17499518.2024.2337387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}