{"id":"https://openalex.org/W4407900176","doi":"https://doi.org/10.1109/tetci.2025.3537938","title":"Binary Classification From $M$-Tuple Similarity-Confidence Data","display_name":"Binary Classification From $M$-Tuple Similarity-Confidence Data","publication_year":2025,"publication_date":"2025-02-24","ids":{"openalex":"https://openalex.org/W4407900176","doi":"https://doi.org/10.1109/tetci.2025.3537938"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3537938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3537938","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational 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, 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, 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/A5061120030","display_name":"Jiahe Qin","orcid":null},"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":"Jiahe Qin","raw_affiliation_strings":["Engineering Research Center, Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0009-0001-4762-1467","affiliations":[{"raw_affiliation_string":"Engineering Research Center, 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, 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, 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, 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, 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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01273507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"2","first_page":"1418","last_page":"1427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.8353000283241272,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.8353000283241272,"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":0.8266000151634216,"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/T10320","display_name":"Neural Networks and Applications","score":0.795199990272522,"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/similarity","display_name":"Similarity (geometry)","score":0.5888082981109619},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.487901896238327},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.47143784165382385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44039803743362427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42183998227119446},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.41930750012397766},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3989391624927521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.362661212682724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3526708483695984},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34638625383377075},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2732941508293152},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09813356399536133},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06354519724845886}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5888082981109619},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.487901896238327},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.47143784165382385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44039803743362427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42183998227119446},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.41930750012397766},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3989391624927521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.362661212682724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3526708483695984},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34638625383377075},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2732941508293152},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09813356399536133},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06354519724845886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3537938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3537938","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational 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":46,"referenced_works":["https://openalex.org/W1974596106","https://openalex.org/W2001610032","https://openalex.org/W2064059887","https://openalex.org/W2095838485","https://openalex.org/W2112796928","https://openalex.org/W2123958887","https://openalex.org/W2133288557","https://openalex.org/W2138621090","https://openalex.org/W2310506832","https://openalex.org/W2507587187","https://openalex.org/W2734358244","https://openalex.org/W2741752675","https://openalex.org/W2746791238","https://openalex.org/W2899867782","https://openalex.org/W2902986194","https://openalex.org/W2951094201","https://openalex.org/W2957007523","https://openalex.org/W2965190526","https://openalex.org/W2984353870","https://openalex.org/W3000533570","https://openalex.org/W3090501525","https://openalex.org/W3133217640","https://openalex.org/W3165710583","https://openalex.org/W3202549598","https://openalex.org/W3215605103","https://openalex.org/W4302332486","https://openalex.org/W4312505391","https://openalex.org/W6631190155","https://openalex.org/W6679102953","https://openalex.org/W6683235360","https://openalex.org/W6703704031","https://openalex.org/W6734384760","https://openalex.org/W6738532226","https://openalex.org/W6743688258","https://openalex.org/W6746138342","https://openalex.org/W6747843811","https://openalex.org/W6754519412","https://openalex.org/W6754579393","https://openalex.org/W6755625343","https://openalex.org/W6769282106","https://openalex.org/W6772389607","https://openalex.org/W6783579688","https://openalex.org/W6783596713","https://openalex.org/W6787972765","https://openalex.org/W6790372623","https://openalex.org/W6857668662"],"related_works":["https://openalex.org/W2154693897","https://openalex.org/W104621197","https://openalex.org/W2094988397","https://openalex.org/W2018164323","https://openalex.org/W2018596126","https://openalex.org/W4242950359","https://openalex.org/W2083580028","https://openalex.org/W1980535114","https://openalex.org/W2063706985","https://openalex.org/W4233766581"],"abstract_inverted_index":{"A":[0],"recent":[1],"advancement":[2],"in":[3],"weakly-supervised":[4],"learning":[5],"utilizes":[6],"pairwise":[7],"similarity-confidence":[8,40,55,88],"(Sconf)":[9],"data,":[10],"allowing":[11],"the":[12,120,126],"training":[13],"of":[14,72,125],"binary":[15],"classifiers":[16,98],"using":[17],"unlabeled":[18],"data":[19,34,89],"pairs":[20],"with":[21,39],"confidence":[22],"scores":[23,41],"indicating":[24],"similarity.":[25],"However,":[26],"extending":[27],"this":[28,49],"approach":[29],"to":[30,67,96,106],"handle":[31],"high-order":[32],"tuple":[33],"(e.g.,":[35],"triplets,":[36],"quadruplets,":[37],"quintuplets)":[38],"presents":[42],"significant":[43],"challenges.":[44],"To":[45],"address":[46],"these":[47],"issues,":[48],"paper":[50],"introduces":[51],"<italic":[52,63,128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[53,64,69,85,129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M-tuple":[54],"(Msconf)":[56],"learning</i>,":[57],"a":[58,79,111],"novel":[59],"framework":[60],"that":[61],"extends":[62],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Sconf":[65],"learning</i>":[66,131],"<inline-formula":[68,84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[70,86],"notation=\"LaTeX\">$M$</tex-math></inline-formula>-tuples":[71],"varying":[73],"sizes.":[74],"The":[75],"proposed":[76,127],"method":[77],"includes":[78],"detailed":[80],"process":[81],"for":[82],"generating":[83],"notation=\"LaTeX\">$M$</tex-math></inline-formula>-tuple":[87],"and":[90,110,123],"deriving":[91],"an":[92],"unbiased":[93],"risk":[94,101],"estimator":[95],"train":[97],"effectively.":[99],"Additionally,":[100],"correction":[102],"models":[103],"are":[104],"implemented":[105],"reduce":[107],"potential":[108],"overfitting,":[109],"theoretical":[112],"generalization":[113],"bound":[114],"is":[115],"established.":[116],"Extensive":[117],"experiments":[118],"demonstrate":[119],"practical":[121],"effectiveness":[122],"robustness":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Msconf":[130],"framework.":[132]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
