{"id":"https://openalex.org/W4410294818","doi":"https://doi.org/10.26599/bdma.2025.9020008","title":"Regularization for Deep Imbalanced Regression Based on Quantitative Relationship","display_name":"Regularization for Deep Imbalanced Regression Based on Quantitative Relationship","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4410294818","doi":"https://doi.org/10.26599/bdma.2025.9020008"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2025.9020008","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020008","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2025.9020008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043365677","display_name":"Heng Zhao","orcid":"https://orcid.org/0000-0003-2938-5613"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhao","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University,Shenzhen,China,518118"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University,Shenzhen,China,518118","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058773557","display_name":"Jiehao Chen","orcid":"https://orcid.org/0000-0002-2077-1908"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiehao Chen","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University,Shenzhen,China,518118"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University,Shenzhen,China,518118","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037794437","display_name":"Xianghua Fu","orcid":"https://orcid.org/0000-0003-4431-3386"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghua Fu","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University,Shenzhen,China,518118"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University,Shenzhen,China,518118","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152380"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04469284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"4","first_page":"951","last_page":"965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.8779000043869019,"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":0.8779000043869019,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7962999939918518,"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/regularization","display_name":"Regularization (linguistics)","score":0.7221670150756836},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5794092416763306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5310341119766235},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.451760858297348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4272872805595398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4258325695991516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38397151231765747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37855714559555054},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32689017057418823}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7221670150756836},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5794092416763306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5310341119766235},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.451760858297348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4272872805595398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4258325695991516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38397151231765747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37855714559555054},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32689017057418823}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2025.9020008","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020008","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1caf62fa5741453a835da9343d009e24","is_oa":true,"landing_page_url":"https://doaj.org/article/1caf62fa5741453a835da9343d009e24","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 8, Iss 4, Pp 951-965 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2025.9020008","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020008","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1976896995","https://openalex.org/W2194775991","https://openalex.org/W2766096050","https://openalex.org/W2798869704","https://openalex.org/W2884561390","https://openalex.org/W2900922065","https://openalex.org/W2953961724","https://openalex.org/W2963613787","https://openalex.org/W3011722050","https://openalex.org/W3035524453","https://openalex.org/W3159333674","https://openalex.org/W3180281962","https://openalex.org/W3182987762","https://openalex.org/W3211356784","https://openalex.org/W4206009515","https://openalex.org/W4206821701","https://openalex.org/W4220818975","https://openalex.org/W4288064617","https://openalex.org/W4312303088","https://openalex.org/W4312901050","https://openalex.org/W4313137520","https://openalex.org/W4315607636","https://openalex.org/W4321763935","https://openalex.org/W4366352743","https://openalex.org/W4380303532","https://openalex.org/W4386314151","https://openalex.org/W4386432186","https://openalex.org/W4387609132","https://openalex.org/W4389513437","https://openalex.org/W4389610027","https://openalex.org/W4390660039","https://openalex.org/W4392122189","https://openalex.org/W4401942923","https://openalex.org/W6746224901","https://openalex.org/W6764733053","https://openalex.org/W6776700526","https://openalex.org/W6779304510","https://openalex.org/W6790920653","https://openalex.org/W6838596489"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Imbalanced":[0],"datasets":[1,9,120],"are":[2,121,136],"prevalent":[3],"in":[4,82,103,143],"real":[5],"life.":[6],"The":[7,27,43,58,73,91,107,129],"imbalanced":[8,19,21,145],"pose":[10],"challenges":[11],"for":[12],"classification":[13],"and":[14],"regression":[15,22,118,146],"tasks.":[16],"Compared":[17],"to":[18,35,52,65,123],"classification,":[20],"deals":[23],"with":[24,134],"continuous":[25],"labels.":[26],"positional":[28],"relationship":[29,38],"of":[30,39,45,55,69,71,75,96,100,110,127,131,139],"the":[31,37,40,46,53,67,79,83,89,94,101,104,115,125,132,137,140,144],"labels":[32],"is":[33,49,63,86,112],"unable":[34],"reflect":[36],"feature":[41,44,84],"space.":[42,106],"rare":[47,80],"sample":[48],"under-represented":[50],"due":[51],"influence":[54],"frequent":[56,76],"samples.":[57],"Quantitative":[59],"Relationship":[60],"(QuanRel)":[61],"regularizer":[62],"proposed":[64],"mitigate":[66],"problem":[68],"under-representation":[70],"features.":[72],"effect":[74],"samples":[77,81],"on":[78],"space":[85],"mitigated":[87],"by":[88,114],"QuanRel.":[90,116,128],"QuanRel":[92,135],"uses":[93],"number":[95],"discriminated":[97],"classes,":[98],"instead":[99],"information":[102],"label":[105],"incorrect":[108],"proximity":[109],"features":[111],"improved":[113],"Three":[117],"benchmark":[119],"used":[122],"demonstrate":[124],"effectiveness":[126],"results":[130],"models":[133,142],"best":[138],"common":[141],"datasets.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}