{"id":"https://openalex.org/W4225159779","doi":"https://doi.org/10.1007/s10489-022-03494-4","title":"Borderline-margin loss based deep metric learning framework for imbalanced data","display_name":"Borderline-margin loss based deep metric learning framework for imbalanced data","publication_year":2022,"publication_date":"2022-04-29","ids":{"openalex":"https://openalex.org/W4225159779","doi":"https://doi.org/10.1007/s10489-022-03494-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-03494-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03494-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied 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/A5010182425","display_name":"Mi Yan","orcid":"https://orcid.org/0000-0002-3625-3363"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mi Yan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, and Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, and Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100691181","display_name":"Ning Li","orcid":"https://orcid.org/0000-0003-1025-9641"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Li","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, and Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai, 200240, China"],"raw_orcid":"https://orcid.org/0000-0003-1025-9641","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, and Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100691181"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.0439,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79318747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"53","issue":"2","first_page":"1487","last_page":"1504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8417559862136841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116328716278076},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6969252824783325},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6955670714378357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6381086111068726},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5763964653015137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5613531470298767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4804346561431885},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4731767475605011},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4477614164352417},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4456082284450531},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.42929479479789734},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4227154850959778},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33381766080856323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1274777054786682},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12601813673973083}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8417559862136841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116328716278076},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6969252824783325},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6955670714378357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6381086111068726},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5763964653015137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5613531470298767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4804346561431885},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4731767475605011},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4477614164352417},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4456082284450531},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.42929479479789734},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4227154850959778},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33381766080856323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1274777054786682},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12601813673973083},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-03494-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03494-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1318739995","display_name":null,"funder_award_id":"61773260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6872951475","display_name":null,"funder_award_id":"2018YFB1305902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W102369970","https://openalex.org/W1541033774","https://openalex.org/W1591261915","https://openalex.org/W1993220166","https://openalex.org/W2011376672","https://openalex.org/W2045042261","https://openalex.org/W2096733369","https://openalex.org/W2096945460","https://openalex.org/W2118978333","https://openalex.org/W2132791018","https://openalex.org/W2137029138","https://openalex.org/W2148143831","https://openalex.org/W2157364932","https://openalex.org/W2185967890","https://openalex.org/W2440599146","https://openalex.org/W2520774990","https://openalex.org/W2576489887","https://openalex.org/W2598548966","https://openalex.org/W2600610494","https://openalex.org/W2612535084","https://openalex.org/W2752946155","https://openalex.org/W2766296277","https://openalex.org/W2772925609","https://openalex.org/W2796427615","https://openalex.org/W2803649140","https://openalex.org/W2895347732","https://openalex.org/W2962981269","https://openalex.org/W2963351448","https://openalex.org/W2963744743","https://openalex.org/W2969656782","https://openalex.org/W2969674096","https://openalex.org/W2970285847","https://openalex.org/W2971749073","https://openalex.org/W2972176792","https://openalex.org/W2987279054","https://openalex.org/W3000453568","https://openalex.org/W3009287124","https://openalex.org/W3009888028","https://openalex.org/W3010512657","https://openalex.org/W3020530474","https://openalex.org/W3020824461","https://openalex.org/W3025519219","https://openalex.org/W3026405303","https://openalex.org/W3027677109","https://openalex.org/W3031232306","https://openalex.org/W3036326763","https://openalex.org/W3044426120","https://openalex.org/W3084392724","https://openalex.org/W3088316021","https://openalex.org/W3093436749","https://openalex.org/W3102844584","https://openalex.org/W3108682246","https://openalex.org/W3120093105","https://openalex.org/W3133808320","https://openalex.org/W3135611392","https://openalex.org/W3161599138","https://openalex.org/W3207060562","https://openalex.org/W4200440590","https://openalex.org/W4236765470","https://openalex.org/W4290043985"],"related_works":["https://openalex.org/W2997457842","https://openalex.org/W1532734293","https://openalex.org/W1997431798","https://openalex.org/W4366257129","https://openalex.org/W1967777539","https://openalex.org/W3206792995","https://openalex.org/W1490526350","https://openalex.org/W2924161931","https://openalex.org/W4298643855","https://openalex.org/W3005055210"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
