{"id":"https://openalex.org/W7135205139","doi":"https://doi.org/10.1109/iccp68926.2025.11427060","title":"ContrastRelevance: Supervised Contrastive Learning and Binary Relevance for Imbalanced Multi Label Classification","display_name":"ContrastRelevance: Supervised Contrastive Learning and Binary Relevance for Imbalanced Multi Label Classification","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W7135205139","doi":"https://doi.org/10.1109/iccp68926.2025.11427060"},"language":null,"primary_location":{"id":"doi:10.1109/iccp68926.2025.11427060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp68926.2025.11427060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5109676597","display_name":"I. A. Rus","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":true,"raw_author_name":"Iulia-Maria Rus","raw_affiliation_strings":["Computer Science Department of Technical University,Cluj-Napoca"],"affiliations":[{"raw_affiliation_string":"Computer Science Department of Technical University,Cluj-Napoca","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012621807","display_name":"Raluca Portase","orcid":"https://orcid.org/0000-0002-8985-4728"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Raluca Portase","raw_affiliation_strings":["Computer Science Department of Technical University,Cluj-Napoca"],"affiliations":[{"raw_affiliation_string":"Computer Science Department of Technical University,Cluj-Napoca","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080452338","display_name":"Mihaela D\u00een\u0219oreanu","orcid":"https://orcid.org/0000-0002-4947-0594"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Mihaela Dinsoreanu","raw_affiliation_strings":["Computer Science Department of Technical University,Cluj-Napoca"],"affiliations":[{"raw_affiliation_string":"Computer Science Department of Technical University,Cluj-Napoca","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049230139","display_name":"Rodica Potolea","orcid":"https://orcid.org/0000-0002-7051-3691"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Rodica Potolea","raw_affiliation_strings":["Computer Science Department of Technical University,Cluj-Napoca"],"affiliations":[{"raw_affiliation_string":"Computer Science Department of Technical University,Cluj-Napoca","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109676597"],"corresponding_institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88334901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.7454000115394592,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.7454000115394592,"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":0.17030000686645508,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.009800000116229057,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4625999927520752},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.45899999141693115},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.436599999666214},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4004000127315521},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.36880001425743103},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.3303999900817871},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3264000117778778},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.32260000705718994}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988999843597412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885999798774719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.436599999666214},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.36880001425743103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34769999980926514},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34369999170303345},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp68926.2025.11427060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp68926.2025.11427060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1781770377","https://openalex.org/W1979495886","https://openalex.org/W1999954155","https://openalex.org/W2052684427","https://openalex.org/W2059141953","https://openalex.org/W2114315281","https://openalex.org/W2116702209","https://openalex.org/W2137484796","https://openalex.org/W2148143831","https://openalex.org/W2156935079","https://openalex.org/W2767245172","https://openalex.org/W2768561679","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2971092323","https://openalex.org/W3034942609","https://openalex.org/W3130451294","https://openalex.org/W3175613352","https://openalex.org/W3201658153","https://openalex.org/W4313034431","https://openalex.org/W4322731615","https://openalex.org/W4391129512","https://openalex.org/W4393948933","https://openalex.org/W4402029560","https://openalex.org/W4403989843","https://openalex.org/W4405491044","https://openalex.org/W4413147685"],"related_works":[],"abstract_inverted_index":{"Multi-label":[0],"classification":[1,79],"methods":[2],"have":[3],"gained":[4],"importance":[5],"in":[6,52],"the":[7,18,36,49],"context":[8],"of":[9,20,38,62,83],"modern":[10],"machine":[11],"learning":[12,86],"applications,":[13],"as":[14],"they":[15],"can":[16,58],"handle":[17],"complexity":[19],"a":[21,77,84,89],"data":[22,39,54],"point":[23],"concurrently":[24],"being":[25],"associated":[26],"with":[27],"multiple":[28],"semantic":[29],"concepts;":[30],"however,":[31],"standard":[32],"approaches":[33],"often":[34],"face":[35],"challenges":[37],"scarcity":[40],"and":[41,88],"imbalance.":[42],"These":[43],"two":[44],"issues":[45],"are":[46],"driven":[47],"by":[48,100],"rapid":[50],"advances":[51],"real":[53],"collection,":[55],"where":[56],"repositories":[57],"present":[59,76],"large":[60],"volumes":[61],"information":[63],"for":[64,97],"specific":[65],"label":[66],"combinations,":[67],"while":[68],"under-representing":[69],"others.":[70],"In":[71],"this":[72],"research":[73],"paper,":[74],"we":[75],"multi-label":[78],"architecture:":[80],"ContrastRelevance.":[81],"Composed":[82],"contrastive":[85],"model":[87],"static":[90],"binary":[91],"relevance":[92],"structure,":[93],"it":[94],"is":[95],"designed":[96],"problems":[98],"affected":[99],"scant":[101],"data.":[102]},"counts_by_year":[],"updated_date":"2026-03-15T07:15:06.534987","created_date":"2026-03-14T00:00:00"}
