Gast ::
000986802 001__ 986802 000986802 005__ 20250207124120.0 000986802 0247_ $$2ISBN$$a979-8-3503-0788-7 000986802 0247_ $$2ISBN$$a979-8-3503-0789-4 000986802 0247_ $$2ISSN$$a1550-4786 000986802 0247_ $$2ISSN$$a2374-8486 000986802 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85185392437 000986802 0247_ $$2WOS$$aWOS:001165180100154 000986802 0247_ $$2doi$$a10.1109/ICDM58522.2023.00163 000986802 037__ $$aRWTH-2024-05390 000986802 041__ $$aEnglish 000986802 1001_ $$aQuercia, Alessio$$b0$$eCorresponding author 000986802 1112_ $$a2023 IEEE International Conference on Data Mining$$cShanghai$$d2023-12-01 - 2023-12-04$$gICDM$$wPeoples R China 000986802 245__ $$aSGD Biased towards Early Important Samples for Efficient Training$$honline, print 000986802 260__ $$aPiscataway, NJ$$bIEEE$$c2023 000986802 29510 $$a23rd IEEE International Conference on Data Mining : ICDM 2023 : proceedings : 1-4 December 2023, Shanghai, China / editors: Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu 000986802 300__ $$a1289-1294 000986802 3367_ $$033$$2EndNote$$aConference Paper 000986802 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb 000986802 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib 000986802 3367_ $$2BibTeX$$aINPROCEEDINGS 000986802 3367_ $$2DRIVER$$aconferenceObject 000986802 3367_ $$2DataCite$$aOutput Types/Conference Paper 000986802 3367_ $$2ORCID$$aCONFERENCE_PAPER 000986802 588__ $$aDataset connected to , , , CrossRef Conference 000986802 591__ $$aDenmark 000986802 591__ $$aGermany 000986802 7001_ $$0P:(DE-82)IDM04233$$aMorrison, Abigail Joanna Rhodes$$b1$$urwth 000986802 7001_ $$aScharr, Hanno$$b2 000986802 7001_ $$aAssent, Ira$$b3 000986802 909CO $$ooai:publications.rwth-aachen.de:986802$$pVDB 000986802 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04233$$aRWTH Aachen$$b1$$kRWTH 000986802 9141_ $$y2023 000986802 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0 000986802 9201_ $$0I:(DE-82)124920_20200227$$k124920$$lLehr- und Forschungsgebiet Neural Computation (FZ Jülich)$$x0 000986802 9201_ $$0I:(DE-82)120000_20140620$$k120000$$lFachgruppe Informatik$$x1 000986802 961__ $$c2024-05-27T15:40:14.743434$$x2024-05-27T15:40:14.743434$$z2024-05-28 000986802 980__ $$aI:(DE-82)120000_20140620 000986802 980__ $$aI:(DE-82)124920_20200227 000986802 980__ $$aUNRESTRICTED 000986802 980__ $$aVDB 000986802 980__ $$acontb 000986802 980__ $$acontrib