Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381431306> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4381431306 endingPage "2797" @default.
- W4381431306 startingPage "2781" @default.
- W4381431306 abstract "Self-training semi-supervised classification has grown in popularity as a research topic. However, when faced with several challenges including outliers, imbalanced class, and incomplete data in reality, the traditional self-training semi-supervised methods might adversely damage the classification accuracy. In this research, we develop a two-step robust semi-supervised self-training classification algorithm that works with imbalanced and incomplete data. The proposed method varies from traditional self-training semi-supervised methods in three major ways: (1) The method in this paper does not necessitate the balance and complete assumption in traditional semi-supervised self-training methods, since it can complete and rebalance the dataset simultaneously. (2) This method is compatible with many classifiers, so it can handle multi-classification and non-linear classification cases. (3) The classifier in this paper is resistant to outliers during semi-supervised classification. Furthermore, several numerical simulations were performed in this research to illustrate the quality of our method to synthesized data, as well as multiple experiments to demonstrate our method superior classification performance on various real datasets." @default.
- W4381431306 created "2023-06-21" @default.
- W4381431306 creator A5021860948 @default.
- W4381431306 creator A5034832882 @default.
- W4381431306 creator A5046829204 @default.
- W4381431306 creator A5087673269 @default.
- W4381431306 date "2023-08-01" @default.
- W4381431306 modified "2023-09-27" @default.
- W4381431306 title "Robust semi-supervised classification for imbalanced and incomplete data" @default.
- W4381431306 cites W1968817125 @default.
- W4381431306 cites W1970573249 @default.
- W4381431306 cites W2048679005 @default.
- W4381431306 cites W2072128103 @default.
- W4381431306 cites W2092300136 @default.
- W4381431306 cites W2148143831 @default.
- W4381431306 cites W2166597282 @default.
- W4381431306 cites W2344725271 @default.
- W4381431306 cites W2612634114 @default.
- W4381431306 cites W2744556021 @default.
- W4381431306 cites W2756848027 @default.
- W4381431306 cites W2917459525 @default.
- W4381431306 cites W2949866066 @default.
- W4381431306 cites W2963512034 @default.
- W4381431306 cites W3118625667 @default.
- W4381431306 cites W3156809097 @default.
- W4381431306 cites W3211742975 @default.
- W4381431306 doi "https://doi.org/10.3233/jifs-230658" @default.
- W4381431306 hasPublicationYear "2023" @default.
- W4381431306 type Work @default.
- W4381431306 citedByCount "0" @default.
- W4381431306 crossrefType "journal-article" @default.
- W4381431306 hasAuthorship W4381431306A5021860948 @default.
- W4381431306 hasAuthorship W4381431306A5034832882 @default.
- W4381431306 hasAuthorship W4381431306A5046829204 @default.
- W4381431306 hasAuthorship W4381431306A5087673269 @default.
- W4381431306 hasConcept C119857082 @default.
- W4381431306 hasConcept C124101348 @default.
- W4381431306 hasConcept C136389625 @default.
- W4381431306 hasConcept C139532973 @default.
- W4381431306 hasConcept C153180895 @default.
- W4381431306 hasConcept C154945302 @default.
- W4381431306 hasConcept C2776145971 @default.
- W4381431306 hasConcept C34872919 @default.
- W4381431306 hasConcept C41008148 @default.
- W4381431306 hasConcept C50644808 @default.
- W4381431306 hasConcept C51632099 @default.
- W4381431306 hasConcept C58973888 @default.
- W4381431306 hasConcept C79337645 @default.
- W4381431306 hasConcept C95623464 @default.
- W4381431306 hasConceptScore W4381431306C119857082 @default.
- W4381431306 hasConceptScore W4381431306C124101348 @default.
- W4381431306 hasConceptScore W4381431306C136389625 @default.
- W4381431306 hasConceptScore W4381431306C139532973 @default.
- W4381431306 hasConceptScore W4381431306C153180895 @default.
- W4381431306 hasConceptScore W4381431306C154945302 @default.
- W4381431306 hasConceptScore W4381431306C2776145971 @default.
- W4381431306 hasConceptScore W4381431306C34872919 @default.
- W4381431306 hasConceptScore W4381431306C41008148 @default.
- W4381431306 hasConceptScore W4381431306C50644808 @default.
- W4381431306 hasConceptScore W4381431306C51632099 @default.
- W4381431306 hasConceptScore W4381431306C58973888 @default.
- W4381431306 hasConceptScore W4381431306C79337645 @default.
- W4381431306 hasConceptScore W4381431306C95623464 @default.
- W4381431306 hasIssue "2" @default.
- W4381431306 hasLocation W43814313061 @default.
- W4381431306 hasOpenAccess W4381431306 @default.
- W4381431306 hasPrimaryLocation W43814313061 @default.
- W4381431306 hasRelatedWork W1973598714 @default.
- W4381431306 hasRelatedWork W2047122092 @default.
- W4381431306 hasRelatedWork W2151561819 @default.
- W4381431306 hasRelatedWork W2379825245 @default.
- W4381431306 hasRelatedWork W2538661024 @default.
- W4381431306 hasRelatedWork W4294974824 @default.
- W4381431306 hasRelatedWork W4306904961 @default.
- W4381431306 hasRelatedWork W4361193897 @default.
- W4381431306 hasRelatedWork W4385422125 @default.
- W4381431306 hasRelatedWork W2088769012 @default.
- W4381431306 hasVolume "45" @default.
- W4381431306 isParatext "false" @default.
- W4381431306 isRetracted "false" @default.
- W4381431306 workType "article" @default.