{"title":"Learning from Imbalanced Data","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_4","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_4","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"260 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121328344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuzzy Rough Set Based Classification of Semi-supervised Data","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_5","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_5","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131628531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding OWA Based Fuzzy Rough Sets","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_3","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_3","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116545909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conclusions and Future Work","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_8","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_8","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122750363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classification","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_2","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_2","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115815368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-label Learning","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_7","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_7","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114278320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-instance Learning","authors":"Sarah Vluymans","doi":"10.1007/978-3-030-04663-7_6","DOIUrl":"https://doi.org/10.1007/978-3-030-04663-7_6","url":null,"abstract":"","PeriodicalId":153101,"journal":{"name":"Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129631576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}