Matches in SemOpenAlex for { <https://semopenalex.org/work/W3190751908> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3190751908 endingPage "432" @default.
- W3190751908 startingPage "423" @default.
- W3190751908 abstract "This paper proposes a parallel machine learning framework for detecting Alzheimer’s disease through T1-weighted MRI scans localised to the hippocampus, segmented between the left and right hippocampi. Feature extraction is first performed by 2 separately trained, unsupervised learning based AutoEncoders, where the left and right hippocampi are fed into their respective AutoEncoder. Classification is then performed by a pair of classifiers on the encoded data from the AutoEncoders, to which each pair of the classifiers are aggregated together using a soft voting ensemble process. The best averaged aggregated model results recorded was with the Gaussian Naïve Bayes classifier where sensitivity/specificity achieved were 80%/81% respectively and a balanced accuracy score of 80%." @default.
- W3190751908 created "2021-08-16" @default.
- W3190751908 creator A5018289832 @default.
- W3190751908 creator A5020965025 @default.
- W3190751908 creator A5032375511 @default.
- W3190751908 creator A5052907741 @default.
- W3190751908 date "2021-01-01" @default.
- W3190751908 modified "2023-10-17" @default.
- W3190751908 title "A Parallel Machine Learning Framework for Detecting Alzheimer’s Disease" @default.
- W3190751908 cites W1554171816 @default.
- W3190751908 cites W1982145113 @default.
- W3190751908 cites W1992395739 @default.
- W3190751908 cites W2053836765 @default.
- W3190751908 cites W2093602450 @default.
- W3190751908 cites W2108103428 @default.
- W3190751908 cites W2111913931 @default.
- W3190751908 cites W2124260444 @default.
- W3190751908 cites W2768956845 @default.
- W3190751908 cites W2792517186 @default.
- W3190751908 cites W2795824182 @default.
- W3190751908 cites W2982253338 @default.
- W3190751908 cites W3022315685 @default.
- W3190751908 cites W3048184660 @default.
- W3190751908 cites W3091780972 @default.
- W3190751908 cites W3091860120 @default.
- W3190751908 cites W3094122878 @default.
- W3190751908 cites W3101510858 @default.
- W3190751908 doi "https://doi.org/10.1007/978-3-030-86993-9_38" @default.
- W3190751908 hasPublicationYear "2021" @default.
- W3190751908 type Work @default.
- W3190751908 sameAs 3190751908 @default.
- W3190751908 citedByCount "3" @default.
- W3190751908 countsByYear W31907519082022 @default.
- W3190751908 crossrefType "book-chapter" @default.
- W3190751908 hasAuthorship W3190751908A5018289832 @default.
- W3190751908 hasAuthorship W3190751908A5020965025 @default.
- W3190751908 hasAuthorship W3190751908A5032375511 @default.
- W3190751908 hasAuthorship W3190751908A5052907741 @default.
- W3190751908 hasBestOaLocation W31907519082 @default.
- W3190751908 hasConcept C101738243 @default.
- W3190751908 hasConcept C119857082 @default.
- W3190751908 hasConcept C12267149 @default.
- W3190751908 hasConcept C153180895 @default.
- W3190751908 hasConcept C154945302 @default.
- W3190751908 hasConcept C41008148 @default.
- W3190751908 hasConcept C50644808 @default.
- W3190751908 hasConcept C52001869 @default.
- W3190751908 hasConcept C95623464 @default.
- W3190751908 hasConceptScore W3190751908C101738243 @default.
- W3190751908 hasConceptScore W3190751908C119857082 @default.
- W3190751908 hasConceptScore W3190751908C12267149 @default.
- W3190751908 hasConceptScore W3190751908C153180895 @default.
- W3190751908 hasConceptScore W3190751908C154945302 @default.
- W3190751908 hasConceptScore W3190751908C41008148 @default.
- W3190751908 hasConceptScore W3190751908C50644808 @default.
- W3190751908 hasConceptScore W3190751908C52001869 @default.
- W3190751908 hasConceptScore W3190751908C95623464 @default.
- W3190751908 hasLocation W31907519081 @default.
- W3190751908 hasLocation W31907519082 @default.
- W3190751908 hasLocation W31907519083 @default.
- W3190751908 hasOpenAccess W3190751908 @default.
- W3190751908 hasPrimaryLocation W31907519081 @default.
- W3190751908 hasRelatedWork W2292254049 @default.
- W3190751908 hasRelatedWork W2592385986 @default.
- W3190751908 hasRelatedWork W2772780115 @default.
- W3190751908 hasRelatedWork W2897995864 @default.
- W3190751908 hasRelatedWork W2998168123 @default.
- W3190751908 hasRelatedWork W3032998101 @default.
- W3190751908 hasRelatedWork W3099179464 @default.
- W3190751908 hasRelatedWork W4205958290 @default.
- W3190751908 hasRelatedWork W4281924768 @default.
- W3190751908 hasRelatedWork W4287995534 @default.
- W3190751908 isParatext "false" @default.
- W3190751908 isRetracted "false" @default.
- W3190751908 magId "3190751908" @default.
- W3190751908 workType "book-chapter" @default.