Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312608464> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4312608464 endingPage "2226" @default.
- W4312608464 startingPage "2214" @default.
- W4312608464 abstract "Wafer classification is a critical task for semiconductor manufacturing. Most conventional algorithms require a large-scale perfectly labeled dataset to train accurate classifiers. In practice, it is usually difficult or even impossible to collect perfect labels without errors, and the classification accuracy in the presence of imperfectly labeled data would degrade. To facilitate robust wafer classification with noisy labels, we propose a novel self-boosting co-teaching (SB-CT) approach. Specifically, we iteratively correct the wrong labels by using the predictions of two classifiers that are jointly trained with noisily labeled data. To make the proposed method of practical utility, we develop a novel method to accurately estimate the noise rate, and adopt a probability scaling technique to further improve the classification accuracy. As demonstrated by the experimental results based on two industrial datasets, the proposed SB-CT approach achieves superior accuracy over other conventional methods." @default.
- W4312608464 created "2023-01-05" @default.
- W4312608464 creator A5014447013 @default.
- W4312608464 creator A5022526821 @default.
- W4312608464 creator A5044120987 @default.
- W4312608464 creator A5067259889 @default.
- W4312608464 date "2023-07-01" @default.
- W4312608464 modified "2023-10-18" @default.
- W4312608464 title "Robust Wafer Classification With Imperfectly Labeled Data Based on Self-Boosting Co-Teaching" @default.
- W4312608464 cites W1514928307 @default.
- W4312608464 cites W1604374636 @default.
- W4312608464 cites W1975128126 @default.
- W4312608464 cites W2020286945 @default.
- W4312608464 cites W2021312192 @default.
- W4312608464 cites W2034243637 @default.
- W4312608464 cites W2056945148 @default.
- W4312608464 cites W2097645005 @default.
- W4312608464 cites W2142704389 @default.
- W4312608464 cites W2167460663 @default.
- W4312608464 cites W2194775991 @default.
- W4312608464 cites W2286515324 @default.
- W4312608464 cites W2594332903 @default.
- W4312608464 cites W2792944472 @default.
- W4312608464 cites W2798589477 @default.
- W4312608464 cites W2898077816 @default.
- W4312608464 cites W2964292098 @default.
- W4312608464 cites W2970409000 @default.
- W4312608464 cites W2975403694 @default.
- W4312608464 cites W2981873476 @default.
- W4312608464 cites W2990019157 @default.
- W4312608464 cites W3016981641 @default.
- W4312608464 cites W3024903722 @default.
- W4312608464 cites W3037587765 @default.
- W4312608464 cites W3082906739 @default.
- W4312608464 cites W3173196825 @default.
- W4312608464 cites W3193736071 @default.
- W4312608464 cites W4200539674 @default.
- W4312608464 doi "https://doi.org/10.1109/tcad.2022.3218239" @default.
- W4312608464 hasPublicationYear "2023" @default.
- W4312608464 type Work @default.
- W4312608464 citedByCount "0" @default.
- W4312608464 crossrefType "journal-article" @default.
- W4312608464 hasAuthorship W4312608464A5014447013 @default.
- W4312608464 hasAuthorship W4312608464A5022526821 @default.
- W4312608464 hasAuthorship W4312608464A5044120987 @default.
- W4312608464 hasAuthorship W4312608464A5067259889 @default.
- W4312608464 hasConcept C119599485 @default.
- W4312608464 hasConcept C119857082 @default.
- W4312608464 hasConcept C124101348 @default.
- W4312608464 hasConcept C127413603 @default.
- W4312608464 hasConcept C153180895 @default.
- W4312608464 hasConcept C154945302 @default.
- W4312608464 hasConcept C160671074 @default.
- W4312608464 hasConcept C201995342 @default.
- W4312608464 hasConcept C2524010 @default.
- W4312608464 hasConcept C2776145971 @default.
- W4312608464 hasConcept C2780451532 @default.
- W4312608464 hasConcept C33923547 @default.
- W4312608464 hasConcept C41008148 @default.
- W4312608464 hasConcept C46686674 @default.
- W4312608464 hasConcept C99844830 @default.
- W4312608464 hasConceptScore W4312608464C119599485 @default.
- W4312608464 hasConceptScore W4312608464C119857082 @default.
- W4312608464 hasConceptScore W4312608464C124101348 @default.
- W4312608464 hasConceptScore W4312608464C127413603 @default.
- W4312608464 hasConceptScore W4312608464C153180895 @default.
- W4312608464 hasConceptScore W4312608464C154945302 @default.
- W4312608464 hasConceptScore W4312608464C160671074 @default.
- W4312608464 hasConceptScore W4312608464C201995342 @default.
- W4312608464 hasConceptScore W4312608464C2524010 @default.
- W4312608464 hasConceptScore W4312608464C2776145971 @default.
- W4312608464 hasConceptScore W4312608464C2780451532 @default.
- W4312608464 hasConceptScore W4312608464C33923547 @default.
- W4312608464 hasConceptScore W4312608464C41008148 @default.
- W4312608464 hasConceptScore W4312608464C46686674 @default.
- W4312608464 hasConceptScore W4312608464C99844830 @default.
- W4312608464 hasIssue "7" @default.
- W4312608464 hasLocation W43126084641 @default.
- W4312608464 hasOpenAccess W4312608464 @default.
- W4312608464 hasPrimaryLocation W43126084641 @default.
- W4312608464 hasRelatedWork W171415620 @default.
- W4312608464 hasRelatedWork W1987859285 @default.
- W4312608464 hasRelatedWork W1996541855 @default.
- W4312608464 hasRelatedWork W2003125512 @default.
- W4312608464 hasRelatedWork W2340694410 @default.
- W4312608464 hasRelatedWork W2543725295 @default.
- W4312608464 hasRelatedWork W2897195263 @default.
- W4312608464 hasRelatedWork W2939325949 @default.
- W4312608464 hasRelatedWork W2944309180 @default.
- W4312608464 hasRelatedWork W3195168932 @default.
- W4312608464 hasVolume "42" @default.
- W4312608464 isParatext "false" @default.
- W4312608464 isRetracted "false" @default.
- W4312608464 workType "article" @default.