{"id":"https://openalex.org/W7134045916","doi":"https://doi.org/10.1007/s00521-026-11852-3","title":"Hybrid deep learning approach for multi-label classification problem: genre prediction","display_name":"Hybrid deep learning approach for multi-label classification problem: genre prediction","publication_year":2026,"publication_date":"2026-03-01","ids":{"openalex":"https://openalex.org/W7134045916","doi":"https://doi.org/10.1007/s00521-026-11852-3"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-026-11852-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-026-11852-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-026-11852-3.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-026-11852-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012865983","display_name":"Fat\u0131ma Zehra \u00dcnal","orcid":"https://orcid.org/0000-0002-1789-0893"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fat\u0131ma Zehra \u00dcnal","raw_affiliation_strings":["Optoelectronics and Electro-Optics Technologies Pr., Akyurt Vocational School, Ankara University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Optoelectronics and Electro-Optics Technologies Pr., Akyurt Vocational School, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128244005","display_name":"Mehmet Serdar G\u00fczel","orcid":null},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Serdar G\u00fczel","raw_affiliation_strings":["Artificial Intelligence Institute, Ankara University, Ankara, Turkey","Department of Computer Engineering, Ankara University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]},{"raw_affiliation_string":"Department of Computer Engineering, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037510251","display_name":"Metehan \u00dcnal","orcid":"https://orcid.org/0000-0002-7545-2445"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]},{"id":"https://openalex.org/I56007636","display_name":"Keele University","ror":"https://ror.org/00340yn33","country_code":"GB","type":"education","lineage":["https://openalex.org/I56007636"]}],"countries":["GB","TR"],"is_corresponding":false,"raw_author_name":"Metehan \u00dcnal","raw_affiliation_strings":["Department of Computer Engineering, Ankara University, Ankara, Turkey","Department of Computer Science and Mathematics, Keele University, Staffordshire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]},{"raw_affiliation_string":"Department of Computer Science and Mathematics, Keele University, Staffordshire, UK","institution_ids":["https://openalex.org/I56007636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128241656","display_name":"Fatih Ekinci","orcid":null},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatih Ekinci","raw_affiliation_strings":["Artificial Intelligence Institute, Ankara University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063767889","display_name":"Tun\u00e7 A\u015furo\u011flu","orcid":"https://orcid.org/0000-0003-4153-0764"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tun\u00e7 A\u015furo\u011flu","raw_affiliation_strings":["Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland","VTT Technical Research Centre of Finland, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]},{"raw_affiliation_string":"VTT Technical Research Centre of Finland, Tampere, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088721490","display_name":"Koray A\u00e7\u0131c\u0131","orcid":"https://orcid.org/0000-0002-3821-6419"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Koray A\u00e7\u0131c\u0131","raw_affiliation_strings":["Artificial Intelligence Institute, Ankara University, Ankara, Turkey","Department of Artificial Intelligence and Data Engineering, Ankara University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Institute, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]},{"raw_affiliation_string":"Department of Artificial Intelligence and Data Engineering, Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088721490"],"corresponding_institution_ids":["https://openalex.org/I149218525"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24991782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.30230000615119934,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.30230000615119934,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.16580000519752502,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.08540000021457672,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6843000054359436},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5986999869346619},{"id":"https://openalex.org/keywords/comparability","display_name":"Comparability","score":0.4884999990463257},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.44279998540878296},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4410000145435333},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.42250001430511475},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.4090000092983246},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.40860000252723694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396999835968018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7513999938964844},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6843000054359436},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5986999869346619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5060999989509583},{"id":"https://openalex.org/C197947376","wikidata":"https://www.wikidata.org/wiki/Q5155608","display_name":"Comparability","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.4090000092983246},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.40860000252723694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.3878999948501587},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3637000024318695},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3517000079154968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-026-11852-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-026-11852-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-026-11852-3.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/235661","is_oa":true,"landing_page_url":"https://trepo.tuni.fi/handle/10024/235661","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s00521-026-11852-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-026-11852-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-026-11852-3.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6494224667549133,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7134045916.pdf","grobid_xml":"https://content.openalex.org/works/W7134045916.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W54887220","https://openalex.org/W2295598076","https://openalex.org/W2787873795","https://openalex.org/W2787894218","https://openalex.org/W2896647254","https://openalex.org/W2963341956","https://openalex.org/W2974507461","https://openalex.org/W3094850085","https://openalex.org/W3120900971","https://openalex.org/W3183528680","https://openalex.org/W3204382137","https://openalex.org/W4210477113","https://openalex.org/W4223954581","https://openalex.org/W4224941147","https://openalex.org/W4281666689","https://openalex.org/W4288748398","https://openalex.org/W4297903161","https://openalex.org/W4300662969","https://openalex.org/W4312443924","https://openalex.org/W4384406786","https://openalex.org/W4385876936","https://openalex.org/W4387967995","https://openalex.org/W4394692031","https://openalex.org/W4401971951","https://openalex.org/W4402125274","https://openalex.org/W4405945701","https://openalex.org/W4409386611","https://openalex.org/W4411619060"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,143,231],"primary":[2],"aim":[3],"is":[4,59],"to":[5,114,121,148,197],"develop":[6],"a":[7,40,60,139,180,186,224],"model":[8,43,178,253,262],"that":[9,28,44,273],"can":[10],"achieve":[11,122,158],"high":[12],"accuracy":[13,124],"in":[14,128,192],"solving":[15],"multi":[16,64,296],"label":[17,65,297],"classification":[18,66,131],"problems":[19],"by":[20,132],"training,":[21],"testing,":[22],"and":[23,32,48,125,154,173,176,185,221,242,275,281,292,310],"analyzing":[24],"deep":[25,96],"learning":[26,97,112,153],"models":[27,218,235],"utilize":[29],"both":[30,267],"image":[31],"text":[33],"data.":[34],"In":[35,68],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41,204],"hybrid":[42,194,205,261],"jointly":[45],"considers":[46],"textual":[47,72,274],"visual":[49,85,276],"data":[50],"for":[51,169,295],"the":[52,69,81,94,102,109,149,159,163,170,177,193,199,203,211,228,234,251,255,259,284,302],"task":[53],"of":[54,63,183,188,202,233,304],"movie":[55,76,89,129,298],"genre":[56,116,130,299],"prediction,":[57],"which":[58],"representative":[61],"example":[62],"problems.":[67],"proposed":[70,217,260],"model,":[71,83,165,206,257],"features":[73,86,100,277],"extracted":[74,92],"from":[75,88,101,135,162,227],"summaries":[77],"are":[78,91,105],"obtained":[79,226],"using":[80,93,108,151,210,238],"DistilBERT":[82,164],"while":[84,258],"derived":[87],"posters":[90],"ConvNeXt":[95,144],"model.":[98,195],"These":[99],"two":[103],"modalities":[104,137],"then":[106],"combined":[107],"XGBoost":[110],"machine":[111,311],"algorithm":[113],"perform":[115],"prediction.":[117],"This":[118,287],"approach":[119],"aims":[120],"higher":[123,264],"better":[126],"generalizability":[127],"integrating":[133],"information":[134],"different":[136],"through":[138],"late":[140],"fusion":[141],"method.":[142],"architecture":[145],"was":[146,167,190,208,271],"adapted":[147],"problem":[150],"transfer":[152],"fine-tuning":[155],"techniques.":[156],"To":[157],"highest":[160],"performance":[161,201,265],"optimization":[166,207],"performed":[168],"token":[171,181],"length":[172,182],"threshold":[174,187],"hyperparameters,":[175],"with":[179],"256":[184],"0.5":[189],"used":[191],"Furthermore,":[196],"maximize":[198],"overall":[200,285],"conducted":[209],"Grid":[212],"Search":[213],"algorithm.":[214],"All":[215],"three":[216],"were":[219,236],"trained":[220],"tested":[222],"on":[223],"dataset":[225],"IMDB":[229],"website.":[230],"performances":[232],"evaluated":[237],"hamming":[239],"loss,":[240],"precision":[241],"F1":[243],"score":[244],"metrics.":[245],"Experimental":[246],"results":[247],"revealed":[248],"that,":[249],"overall,":[250],"text-based":[252],"outperformed":[254],"image-based":[256],"achieved":[263],"than":[266],"individual":[268],"models.":[269],"It":[270],"demonstrated":[272],"complement":[278],"each":[279],"other":[280],"positively":[282],"enhance":[283],"performance.":[286],"paper":[288],"presents":[289],"an":[290],"original":[291],"effective":[293],"study":[294],"classification,":[300],"combining":[301],"fields":[303],"computer":[305],"vision,":[306],"natural":[307],"language":[308],"processing,":[309],"learning.":[312]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-03-07T00:00:00"}