Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092716265> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2092716265 endingPage "20" @default.
- W2092716265 startingPage "9" @default.
- W2092716265 abstract "Protein secondary structures prediction (PSSP) is considered as a challenging task in bioinformatics. Many approaches have been proposed in last few decades in order to solve this problem. Despite the enhancements achieved, the prediction accuracy still remains limited. Accurate prediction of the secondary structure of proteins is a critical step in deducing tertiary structure of proteins and their functions. Among the proposed approaches to tackle this problem, artificial neural networks (ANN) are considered as one of the most successful methods that widely used in the field of PSSP. Recently, many efforts have been devoted to modify, improve and combine this technology with other machine learning methods in order to get better results. In this paper, we have proposed an ensemble method which combines the outputs of four feedforward neural networks. In each network one of the machine learning approaches has been applied in order to solve the class imbalance problem of protein secondary structure classification. The experimental results on RS126 data set show that our ensemble system has better performance compare to the best individual classifier. The results also reveal that the proposed system yields significant improvement in prediction accuracy of beta-sheet structure and a more balanced classification of three secondary structures." @default.
- W2092716265 created "2016-06-24" @default.
- W2092716265 creator A5021120312 @default.
- W2092716265 creator A5068034214 @default.
- W2092716265 creator A5069995453 @default.
- W2092716265 date "2012-11-30" @default.
- W2092716265 modified "2023-10-05" @default.
- W2092716265 title "Ensemble of Neural Networks to Solve Class Imbalance Problem of Protein Secondary Structure Prediction" @default.
- W2092716265 cites W1498183065 @default.
- W2092716265 cites W1506812273 @default.
- W2092716265 cites W1979826517 @default.
- W2092716265 cites W1994595453 @default.
- W2092716265 cites W2012334384 @default.
- W2092716265 cites W2016724911 @default.
- W2092716265 cites W2044999719 @default.
- W2092716265 cites W2049695588 @default.
- W2092716265 cites W2057157558 @default.
- W2092716265 cites W2073739993 @default.
- W2092716265 cites W2081931155 @default.
- W2092716265 cites W2087894810 @default.
- W2092716265 cites W2100890997 @default.
- W2092716265 cites W2108259942 @default.
- W2092716265 cites W2109553965 @default.
- W2092716265 cites W2119423166 @default.
- W2092716265 cites W2122945697 @default.
- W2092716265 cites W2130283557 @default.
- W2092716265 cites W2130745297 @default.
- W2092716265 cites W2140244239 @default.
- W2092716265 cites W2143210482 @default.
- W2092716265 cites W2153187042 @default.
- W2092716265 cites W2158714788 @default.
- W2092716265 cites W2487277255 @default.
- W2092716265 doi "https://doi.org/10.5121/ijaia.2012.3602" @default.
- W2092716265 hasPublicationYear "2012" @default.
- W2092716265 type Work @default.
- W2092716265 sameAs 2092716265 @default.
- W2092716265 citedByCount "6" @default.
- W2092716265 countsByYear W20927162652015 @default.
- W2092716265 countsByYear W20927162652017 @default.
- W2092716265 countsByYear W20927162652018 @default.
- W2092716265 countsByYear W20927162652019 @default.
- W2092716265 countsByYear W20927162652021 @default.
- W2092716265 crossrefType "journal-article" @default.
- W2092716265 hasAuthorship W2092716265A5021120312 @default.
- W2092716265 hasAuthorship W2092716265A5068034214 @default.
- W2092716265 hasAuthorship W2092716265A5069995453 @default.
- W2092716265 hasBestOaLocation W20927162651 @default.
- W2092716265 hasConcept C119857082 @default.
- W2092716265 hasConcept C154945302 @default.
- W2092716265 hasConcept C2777212361 @default.
- W2092716265 hasConcept C41008148 @default.
- W2092716265 hasConcept C50644808 @default.
- W2092716265 hasConceptScore W2092716265C119857082 @default.
- W2092716265 hasConceptScore W2092716265C154945302 @default.
- W2092716265 hasConceptScore W2092716265C2777212361 @default.
- W2092716265 hasConceptScore W2092716265C41008148 @default.
- W2092716265 hasConceptScore W2092716265C50644808 @default.
- W2092716265 hasIssue "6" @default.
- W2092716265 hasLocation W20927162651 @default.
- W2092716265 hasOpenAccess W2092716265 @default.
- W2092716265 hasPrimaryLocation W20927162651 @default.
- W2092716265 hasRelatedWork W2386387936 @default.
- W2092716265 hasRelatedWork W2961085424 @default.
- W2092716265 hasRelatedWork W3046775127 @default.
- W2092716265 hasRelatedWork W3170094116 @default.
- W2092716265 hasRelatedWork W4205958290 @default.
- W2092716265 hasRelatedWork W4285260836 @default.
- W2092716265 hasRelatedWork W4286629047 @default.
- W2092716265 hasRelatedWork W4306321456 @default.
- W2092716265 hasRelatedWork W4306674287 @default.
- W2092716265 hasRelatedWork W4224009465 @default.
- W2092716265 hasVolume "3" @default.
- W2092716265 isParatext "false" @default.
- W2092716265 isRetracted "false" @default.
- W2092716265 magId "2092716265" @default.
- W2092716265 workType "article" @default.