{"id":"https://openalex.org/W4408563997","doi":"https://doi.org/10.1109/tai.2025.3552687","title":"Learning From N-Tuple Similarities and Unlabeled Data","display_name":"Learning From N-Tuple Similarities and Unlabeled Data","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408563997","doi":"https://doi.org/10.1109/tai.2025.3552687"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3552687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3552687","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-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/A5100769705","display_name":"Junpeng Li","orcid":"https://orcid.org/0000-0003-4028-2703"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junpeng Li","raw_affiliation_strings":["Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4028-2703","affiliations":[{"raw_affiliation_string":"Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103165295","display_name":"Shuying Huang","orcid":"https://orcid.org/0000-0002-6488-6045"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuying Huang","raw_affiliation_strings":["Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0002-6488-6045","affiliations":[{"raw_affiliation_string":"Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380201","display_name":"Changchun Hua","orcid":"https://orcid.org/0000-0001-6311-2112"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun Hua","raw_affiliation_strings":["Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6311-2112","affiliations":[{"raw_affiliation_string":"Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022985654","display_name":"Yana Yang","orcid":"https://orcid.org/0000-0001-6006-8566"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yana Yang","raw_affiliation_strings":["Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6006-8566","affiliations":[{"raw_affiliation_string":"Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":3.6847,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92420733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"6","issue":"9","first_page":"2542","last_page":"2551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9937999844551086,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9937999844551086,"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/T10028","display_name":"Topic Modeling","score":0.968500018119812,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9420999884605408,"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/tuple","display_name":"Tuple","score":0.7711871862411499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4898230731487274},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48624125123023987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43879246711730957},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3830263018608093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29681169986724854},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11890533566474915}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7711871862411499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4898230731487274},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48624125123023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43879246711730957},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3830263018608093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29681169986724854},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11890533566474915}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3552687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3552687","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1705705081","display_name":null,"funder_award_id":"61933009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2421121643","display_name":null,"funder_award_id":"62473327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5036829915","display_name":null,"funder_award_id":"62373319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5884246477","display_name":null,"funder_award_id":"F2024203114","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2123958887","https://openalex.org/W2169495281","https://openalex.org/W2616630373","https://openalex.org/W2746791238","https://openalex.org/W2903641274","https://openalex.org/W2963909971","https://openalex.org/W2964154500","https://openalex.org/W2981952612","https://openalex.org/W3000533570","https://openalex.org/W3126632008","https://openalex.org/W3129588459","https://openalex.org/W3133128010","https://openalex.org/W3133217640","https://openalex.org/W3208347942","https://openalex.org/W3215605103","https://openalex.org/W4205247958","https://openalex.org/W4225964733","https://openalex.org/W4289792623","https://openalex.org/W4387385682"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W2138823233","https://openalex.org/W1979740464","https://openalex.org/W2143345456","https://openalex.org/W1789991335","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Learning":[0],"from":[1,19,55,122],"pairwise":[2],"similarity":[3,147],"and":[4,30,41,65,102,132,162],"unlabeled":[5,31,42,66,103,133],"data":[6,21,67,104,134],"(SU)":[7],"is":[8,36],"a":[9,17,51,81,141],"recently":[10],"emerging":[11],"weakly-supervised":[12],"learning":[13,54,121],"method,":[14],"which":[15],"learns":[16],"classifier":[18,83],"similar":[20],"pairs":[22],"(two":[23],"instances":[24,59,126],"belonging":[25,60],"to":[26,61,90,128,180],"the":[27,62,77,92,112,129,173,182,185],"same":[28,63,130],"class)":[29,64,131],"data.":[32,43],"However,":[33],"this":[34,46,48,108],"framework":[35,52,73,119,139],"insoluble":[37],"for":[38,53,144,159,172],"triplet":[39,56],"similarities":[40,57,98,124],"To":[44,106],"address":[45],"limitation,":[47],"article":[49,114],"develops":[50,115],"(three":[58],"points,":[68,135],"denoted":[69],"as":[70,87],"TSU.":[71],"This":[72,138],"not":[74],"only":[75],"showcases":[76],"feasibility":[78],"of":[79,95,120,184],"constructing":[80],"TSU":[82,161],"but":[84],"also":[85,170],"serves":[86],"an":[88,116],"inspiration":[89],"explore":[91],"broader":[93],"challenge":[94],"addressing":[96],"N-tuple":[97,123],"(N":[99,125],"\u2265":[100],"2)":[101],"points.":[105],"tackle":[107],"more":[109],"generalized":[110],"problem,":[111],"present":[113],"advancing":[117],"weakly-supervision":[118],"belong":[127],"named":[136],"NSU.":[137],"provides":[140],"solid":[142],"foundation":[143],"handling":[145],"diverse":[146],"scenarios.":[148],"Based":[149],"on":[150],"these":[151],"findings,":[152],"we":[153],"propose":[154],"empirical":[155],"risk":[156],"minimization":[157],"estimators":[158],"both":[160],"NSU":[163],"classification.":[164],"The":[165],"estimation":[166],"error":[167],"bounds":[168],"are":[169,178],"established":[171],"proposed":[174,186],"methods.":[175],"Finally,":[176],"experiments":[177],"performed":[179],"verify":[181],"effectiveness":[183],"algorithm.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
