FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2109481202> ?p ?o ?g. }

• W2109481202 abstract "This paper illustrates a new approach to sensitivity analysis for feature selection using multiple ensemble neural networks in a bootstrapping mode with bagging. This methodology is applied to in-silico drug design with QSAR (quantitative structural activity relationship), which is notoriously challenging for machine learning because typically there are on the order of 300-1000 dependent features, often for as few as 50-100 data points. For an HIV dataset with 160 wavelets descriptors, the number of relevant features was reduced to 35, and the resulting predictive neural network model gave better results than with the full feature set." @default.
• W2109481202 created "2016-06-24" @default.
• W2109481202 creator A5000204633 @default.
• W2109481202 creator A5004272781 @default.
• W2109481202 creator A5048876983 @default.
• W2109481202 creator A5059363436 @default.
• W2109481202 creator A5066887922 @default.
• W2109481202 creator A5084146941 @default.
• W2109481202 date "2002-11-13" @default.
• W2109481202 modified "2023-09-25" @default.
• W2109481202 title "Bagging neural network sensitivity analysis for feature reduction for in-silico drug design" @default.
• W2109481202 cites W1504118426 @default.
• W2109481202 cites W1534731256 @default.
• W2109481202 cites W1573503290 @default.
• W2109481202 cites W2077197008 @default.
• W2109481202 cites W2096193168 @default.
• W2109481202 cites W2113298003 @default.
• W2109481202 cites W2114766824 @default.
• W2109481202 cites W2124776405 @default.
• W2109481202 cites W2138846619 @default.
• W2109481202 cites W2197859293 @default.
• W2109481202 cites W2912934387 @default.
• W2109481202 cites W2950636979 @default.
• W2109481202 cites W3121926921 @default.
• W2109481202 doi "https://doi.org/10.1109/ijcnn.2001.938756" @default.
• W2109481202 hasPublicationYear "2002" @default.
• W2109481202 type Work @default.
• W2109481202 sameAs 2109481202 @default.
• W2109481202 citedByCount "13" @default.
• W2109481202 countsByYear W21094812022017 @default.
• W2109481202 countsByYear W21094812022020 @default.
• W2109481202 crossrefType "proceedings-article" @default.
• W2109481202 hasAuthorship W2109481202A5000204633 @default.
• W2109481202 hasAuthorship W2109481202A5004272781 @default.
• W2109481202 hasAuthorship W2109481202A5048876983 @default.
• W2109481202 hasAuthorship W2109481202A5059363436 @default.
• W2109481202 hasAuthorship W2109481202A5066887922 @default.
• W2109481202 hasAuthorship W2109481202A5084146941 @default.
• W2109481202 hasConcept C104317684 @default.
• W2109481202 hasConcept C119857082 @default.
• W2109481202 hasConcept C124101348 @default.
• W2109481202 hasConcept C127413603 @default.
• W2109481202 hasConcept C138885662 @default.
• W2109481202 hasConcept C148483581 @default.
• W2109481202 hasConcept C149782125 @default.
• W2109481202 hasConcept C153180895 @default.
• W2109481202 hasConcept C154945302 @default.
• W2109481202 hasConcept C164126121 @default.
• W2109481202 hasConcept C185592680 @default.
• W2109481202 hasConcept C207609745 @default.
• W2109481202 hasConcept C21200559 @default.
• W2109481202 hasConcept C24326235 @default.
• W2109481202 hasConcept C2775905019 @default.
• W2109481202 hasConcept C2776401178 @default.
• W2109481202 hasConcept C33923547 @default.
• W2109481202 hasConcept C41008148 @default.
• W2109481202 hasConcept C41895202 @default.
• W2109481202 hasConcept C50644808 @default.
• W2109481202 hasConcept C55493867 @default.
• W2109481202 hasConceptScore W2109481202C104317684 @default.
• W2109481202 hasConceptScore W2109481202C119857082 @default.
• W2109481202 hasConceptScore W2109481202C124101348 @default.
• W2109481202 hasConceptScore W2109481202C127413603 @default.
• W2109481202 hasConceptScore W2109481202C138885662 @default.
• W2109481202 hasConceptScore W2109481202C148483581 @default.
• W2109481202 hasConceptScore W2109481202C149782125 @default.
• W2109481202 hasConceptScore W2109481202C153180895 @default.
• W2109481202 hasConceptScore W2109481202C154945302 @default.
• W2109481202 hasConceptScore W2109481202C164126121 @default.
• W2109481202 hasConceptScore W2109481202C185592680 @default.
• W2109481202 hasConceptScore W2109481202C207609745 @default.
• W2109481202 hasConceptScore W2109481202C21200559 @default.
• W2109481202 hasConceptScore W2109481202C24326235 @default.
• W2109481202 hasConceptScore W2109481202C2775905019 @default.
• W2109481202 hasConceptScore W2109481202C2776401178 @default.
• W2109481202 hasConceptScore W2109481202C33923547 @default.
• W2109481202 hasConceptScore W2109481202C41008148 @default.
• W2109481202 hasConceptScore W2109481202C41895202 @default.
• W2109481202 hasConceptScore W2109481202C50644808 @default.
• W2109481202 hasConceptScore W2109481202C55493867 @default.
• W2109481202 hasLocation W21094812021 @default.
• W2109481202 hasOpenAccess W2109481202 @default.
• W2109481202 hasPrimaryLocation W21094812021 @default.
• W2109481202 hasRelatedWork W1528721570 @default.
• W2109481202 hasRelatedWork W1909597172 @default.
• W2109481202 hasRelatedWork W1954600077 @default.
• W2109481202 hasRelatedWork W1963870857 @default.
• W2109481202 hasRelatedWork W1988059801 @default.
• W2109481202 hasRelatedWork W1990214975 @default.
• W2109481202 hasRelatedWork W2032738630 @default.
• W2109481202 hasRelatedWork W2056946993 @default.
• W2109481202 hasRelatedWork W2071219916 @default.
• W2109481202 hasRelatedWork W2079044132 @default.
• W2109481202 hasRelatedWork W2093284811 @default.
• W2109481202 hasRelatedWork W2093831160 @default.
• W2109481202 hasRelatedWork W2108197782 @default.
• W2109481202 hasRelatedWork W2124426131 @default.
• W2109481202 hasRelatedWork W2151419026 @default.
• W2109481202 hasRelatedWork W2154376742 @default.
• W2109481202 hasRelatedWork W2175386251 @default.

• next