Combining Classifiers for Protein Secondary Structure Prediction

dc.contributor.author Aydin, Zafer
dc.contributor.author Uzut, Ömmu Gülsüm
dc.date.accessioned 2026-04-21T10:55:40Z
dc.date.available 2026-04-21T10:55:40Z
dc.date.issued 2017-09
dc.description.sponsorship TUBITAK National Young Researchers
dc.description.sponsorship ACKNOWLEDGEMENT All computations were performed on TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA Resources). This work is supported by grant 113E550 from 3501 TUBITAK National Young Researchers Career Award.
dc.identifier.doi 10.1109/CICN.2017.8319350
dc.identifier.isbn 9781509050017
dc.identifier.scopus 2-s2.0-85050877368
dc.identifier.uri https://hdl.handle.net/20.500.12573/5908
dc.identifier.uri https://doi.org/10.1109/CICN.2017.8319350
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof Proceedings - 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017 -- 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017 -- 16 September 2017 through 17 September 2017 -- Girne -- 135332
dc.rights info:eu-repo/semantics/openAccess
dc.subject Deep Learning
dc.subject Hybrid Classifiers
dc.subject Protein Secondary Structure Prediction
dc.subject Bioinformatics
dc.subject Ensemble Methods
dc.title Combining Classifiers for Protein Secondary Structure Prediction en_US
dc.type Conference Object
dspace.entity.type Publication
gdc.author.scopusid 57203183341
gdc.author.scopusid 7003852510
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University
gdc.description.departmenttemp [Aydin Z.] Abdullah Gül University, Kayseri, Turkey; [Uzut O.G.] Muş Alparslan University, Muş, Turkey
gdc.description.endpage 33
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 29
gdc.description.volume 2018-January
gdc.identifier.openalex W2792101467
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.downloads 0
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.402322E-9
gdc.oaire.isgreen true
gdc.oaire.keywords ensemble methods
gdc.oaire.keywords deep learning
gdc.oaire.keywords bioinformatics
gdc.oaire.keywords protein secondary structure prediction
gdc.oaire.keywords hybrid classifiers
gdc.oaire.popularity 9.436515E-10
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0206 medical engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.views 2
gdc.openalex.collaboration National
gdc.openalex.fwci 0.11
gdc.openalex.normalizedpercentile 0.51
gdc.opencitations.count 1
gdc.plumx.mendeley 6
gdc.plumx.scopuscites 2
gdc.scopus.citedcount 2
relation.isAuthorOfPublication.latestForDiscovery a26c06af-eae3-407c-a21a-128459fa4d2f
relation.isOrgUnitOfPublication.latestForDiscovery 52f507ab-f278-4a1f-824c-44da2a86bd51

Files