{"id":"https://openalex.org/W4400908440","doi":"https://doi.org/10.1109/siu61531.2024.10600983","title":"Multi-Model Stacking Ensemble Approach for Improving Oral Cancer Diagnosis","display_name":"Multi-Model Stacking Ensemble Approach for Improving Oral Cancer Diagnosis","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908440","doi":"https://doi.org/10.1109/siu61531.2024.10600983"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104971248","display_name":"Berrin Beyza \u00d6Zen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berrin Beyza \u00d6zen","raw_affiliation_strings":["Atatürk Üniversitesi,Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi,Erzurum,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atatürk Üniversitesi,Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi,Erzurum,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104987155","display_name":"Fadime Karada\u015f","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fadime Karada\u015f","raw_affiliation_strings":["Atatürk Üniversitesi,Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi,Erzurum,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atatürk Üniversitesi,Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi,Erzurum,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036973736","display_name":"Abdulfattah E. Ba Alawi","orcid":"https://orcid.org/0000-0001-6634-8083"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdulfattah Ba Alawi","raw_affiliation_strings":["Atatürk Üniversitesi,Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi,Erzurum,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atatürk Üniversitesi,Bilgisayar Mühendisliği Bölümü, Mühendislik Fakültesi,Erzurum,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.215,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52880265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7293000221252441,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7293000221252441,"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"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.6761999726295471,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.6496000289916992,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.7161908745765686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6293168663978577},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5649155378341675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.398117333650589},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2137261927127838}],"concepts":[{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.7161908745765686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6293168663978577},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5649155378341675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.398117333650589},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2137261927127838},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6000000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2035329725","https://openalex.org/W4376641153","https://openalex.org/W2070875936","https://openalex.org/W4250391473","https://openalex.org/W3045075405","https://openalex.org/W4302292679","https://openalex.org/W4241625287","https://openalex.org/W2050788868"],"abstract_inverted_index":{"The":[0,85],"difficulty":[1],"of":[2,5,46,59,120,133],"early":[3],"identification":[4,35],"oral":[6,33,62,121],"cancer":[7,34,122],"makes":[8],"it":[9],"a":[10,28,37,74,80],"widespread":[11],"health":[12],"concern":[13],"that":[14,110],"often":[15],"results":[16],"in":[17,114,130],"treatment":[18],"delays":[19],"and":[20,52,57,83,118],"worse":[21],"patient":[22],"survival":[23],"rates.":[24],"Our":[25],"work":[26],"suggests":[27],"unique":[29],"ensemble":[30,70,111],"strategy":[31],"for":[32,61],"as":[36,98,100],"solution":[38],"to":[39],"this":[40],"urgent":[41],"issue.":[42],"Utilizing":[43],"the":[44,55,107,116,131],"strengths":[45],"three":[47],"deep":[48],"learning":[49,112,128],"models\u2014EfficientNetB0,":[50],"EfficientNetB3,":[51],"InceptionV3\u2014we":[53],"increase":[54],"precision":[56,117],"dependability":[58,119],"diagnostics":[60],"cancer.":[63],"To":[64,72],"improve":[65],"accuracy,":[66],"we":[67],"use":[68],"stacked":[69],"learning.":[71],"train":[73],"meta-learner,":[75],"features":[76],"are":[77],"taken":[78],"from":[79],"validation":[81,101],"set":[82],"layered.":[84],"model":[86],"performs":[87],"better":[88],"than":[89],"individual":[90],"models":[91],"when":[92],"tested":[93],"on":[94],"independent":[95],"test":[96,102],"sets":[97],"well":[99],"sets.":[103],"This":[104],"study":[105],"highlights":[106],"critical":[108],"role":[109],"plays":[113],"enhancing":[115],"detection":[123],"while":[124],"also":[125],"advancing":[126],"machine":[127],"approaches":[129],"area":[132],"medical":[134],"image":[135],"analysis.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}