{"id":"https://openalex.org/W2323247676","doi":"https://doi.org/10.1109/siu.2015.7130177","title":"Bili\u015fsel durum analizi i~in beyin A\u011fi modeli","display_name":"Bili\u015fsel durum analizi i~in beyin A\u011fi modeli","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2323247676","doi":"https://doi.org/10.1109/siu.2015.7130177","mag":"2323247676"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/69525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109195244","display_name":"It\u0131r \u00d6nal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Itir Onal","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044027671","display_name":"Emre Aksan","orcid":"https://orcid.org/0000-0002-9836-9011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emre Aksan","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013927953","display_name":"Burak Velioglu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Burak Velioglu","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035914396","display_name":"Orhan F\u0131rat","orcid":"https://orcid.org/0000-0001-5775-2420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orhan Firat","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054882290","display_name":"Mete \u00d6zay","orcid":"https://orcid.org/0000-0002-7189-7260"},"institutions":[{"id":"https://openalex.org/I4210128276","display_name":"Sa\u011fl\u0131k Bilimleri \u00dcniversitesi","ror":"https://ror.org/03k7bde87","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210128276"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mete Ozay","raw_affiliation_strings":["Bilgisayar Bilimleri, Birmingham &#x00DC;niversitesi, B&#x00FC;y&#x00FC;k Britanya, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar Bilimleri, Birmingham &#x00DC;niversitesi, B&#x00FC;y&#x00FC;k Britanya, Turkey","institution_ids":["https://openalex.org/I4210128276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110664463","display_name":"Fato\u015f T. Yarman Vural","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatos T. Yarman Vural","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Orta Do&#x011F;u Teknik &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109195244"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11426121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1688","last_page":"1692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.8211804032325745},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.7700886726379395},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7550033926963806},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6447905898094177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467204451560974},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5335745215415955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5128324627876282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44046998023986816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3236907124519348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15698593854904175},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09774208068847656}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8211804032325745},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.7700886726379395},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7550033926963806},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6447905898094177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467204451560974},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5335745215415955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5128324627876282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44046998023986816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3236907124519348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15698593854904175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09774208068847656},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2015.7130177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://open.metu.edu.tr:11511/69525","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/69525","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:https://open.metu.edu.tr:11511/69525","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/69525","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1987464952","https://openalex.org/W2735932032","https://openalex.org/W1673329429","https://openalex.org/W2028169157","https://openalex.org/W2030252680","https://openalex.org/W2172884470","https://openalex.org/W2148077962","https://openalex.org/W1813857249","https://openalex.org/W3046928130","https://openalex.org/W3006416385"],"abstract_inverted_index":{"We":[0],"suggest":[1],"a":[2,7,40,49,67],"new":[3],"approach":[4],"to":[5,10,32,73,94,190,196],"estimate":[6,33,74],"brain":[8,101,125],"network":[9,22,102],"model":[11],"cognitive":[12,129,143,197],"tasks":[13,144],"and":[14],"explore":[15],"the":[16,34,37,54,75,81,86,100,109,117,123,158,166,181,192],"node":[17,184],"degree":[18,118,167,185],"distribution":[19,186],"of":[20,57,88,119,147,162,183],"this":[21],"in":[23,48],"anatomic":[24,124,136,163,193],"regions.":[25,164],"Functional":[26],"Magnetic":[27],"Resonance":[28],"Images":[29],"are":[30,64,92,175],"used":[31,189],"relationship":[35],"among":[36,178],"voxels.":[38],"First,":[39],"local":[41],"mesh":[42,77],"is":[43,103,155],"formed":[44],"around":[45],"each":[46,106],"voxel":[47],"predefined":[50],"neighborhood":[51],"system.":[52],"Then,":[53],"edge":[55],"weights":[56],"meshes,":[58],"called":[59],"Mesh":[60,89],"Arc":[61,90],"Descriptors":[62,91],"(MAD)":[63],"estimated":[65,110],"using":[66],"linear":[68],"regression":[69],"model.":[70],"In":[71],"order":[72],"optimal":[76],"size":[78],"for":[79,105,127,141,171],"voxels,":[80],"error":[82],"term":[83],"obtained":[84],"during":[85],"estimation":[87],"employed":[93],"optimize":[95],"Akaike's":[96],"Information":[97],"Criterion.":[98],"Finally,":[99],"constructed":[104],"class":[107],"by":[108],"MAD.":[111],"During":[112],"experiments,":[113],"we":[114],"analyze":[115],"how":[116],"nodes":[120],"varies":[121],"across":[122],"regions":[126,137,194],"different":[128],"states.":[130],"Our":[131],"results":[132],"indicate":[133],"that":[134],"some":[135,146],"make":[138],"dense":[139],"connections":[140],"all":[142,172],"whereas":[145],"them":[148],"have":[149],"relatively":[150],"sparse":[151],"connections.":[152],"This":[153],"observation":[154],"consistent":[156],"with":[157],"previously":[159],"reported":[160],"findings":[161],"Although":[165],"distributions":[168],"look":[169],"similar":[170],"classes,":[173],"there":[174],"slight":[176],"variations":[177],"classes.":[179],"Therefore,":[180],"statistics":[182],"may":[187],"be":[188],"discriminate":[191],"related":[195],"tasks.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
