{"id":"https://openalex.org/W3164230923","doi":"https://doi.org/10.1145/3441250.3441274","title":"Threshold Moving Approaches for Addressing the Class Imbalance Problem and their Application to Multi-label Classification","display_name":"Threshold Moving Approaches for Addressing the Class Imbalance Problem and their Application to Multi-label Classification","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3164230923","doi":"https://doi.org/10.1145/3441250.3441274","mag":"3164230923"},"language":"en","primary_location":{"id":"doi:10.1145/3441250.3441274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3441250.3441274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Advances in Image Processing","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/A5010002283","display_name":"Xingfu Zhang","orcid":"https://orcid.org/0000-0001-5305-7017"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xingfu Zhang","raw_affiliation_strings":["Western University, Canada"],"affiliations":[{"raw_affiliation_string":"Western University, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005141398","display_name":"Hyukjun Gweon","orcid":"https://orcid.org/0000-0001-9035-984X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hyukjun Gweon","raw_affiliation_strings":["Western University, Canada"],"affiliations":[{"raw_affiliation_string":"Western University, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057854998","display_name":"Serge B. Provost","orcid":"https://orcid.org/0000-0002-2024-0103"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Serge Provost","raw_affiliation_strings":["Western University, Canada"],"affiliations":[{"raw_affiliation_string":"Western University, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010002283"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":1.3256,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85336351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9984999895095825,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/multi-label-classification","display_name":"Multi-label classification","score":0.7522163391113281},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7089521884918213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901254653930664},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.629692554473877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.615155816078186},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5590664744377136},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5504079461097717},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5323292016983032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5276155471801758},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.51610267162323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48764052987098694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44924020767211914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2059726119041443},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1950637698173523}],"concepts":[{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.7522163391113281},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7089521884918213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901254653930664},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.629692554473877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.615155816078186},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5590664744377136},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5504079461097717},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5323292016983032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5276155471801758},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.51610267162323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48764052987098694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44924020767211914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2059726119041443},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1950637698173523},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3441250.3441274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3441250.3441274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1045349118","https://openalex.org/W1517113043","https://openalex.org/W1870686808","https://openalex.org/W1941659294","https://openalex.org/W1999954155","https://openalex.org/W2015452969","https://openalex.org/W2052684427","https://openalex.org/W2104167780","https://openalex.org/W2119191234","https://openalex.org/W2146241755","https://openalex.org/W2148143831","https://openalex.org/W2156935079","https://openalex.org/W2166912588","https://openalex.org/W2230801863","https://openalex.org/W2521504039","https://openalex.org/W2753047523","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2999549716","https://openalex.org/W6727156235"],"related_works":["https://openalex.org/W2510206144","https://openalex.org/W4376528628","https://openalex.org/W2739554176","https://openalex.org/W4205999209","https://openalex.org/W2900338305","https://openalex.org/W4308086152","https://openalex.org/W1523447316","https://openalex.org/W2046798493","https://openalex.org/W4297182212","https://openalex.org/W2241072627"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"simple":[3],"threshold":[4,79],"moving":[5,80],"techniques":[6],"are":[7,16,39],"proposed":[8,37,78],"for":[9,33],"the":[10,20,24,30,63,66,77],"class":[11,21],"imbalance":[12],"problem.":[13],"Decision":[14],"thresholds":[15],"adjusted":[17],"to":[18,27,41,50],"match":[19],"distribution":[22],"of":[23,29,65],"training":[25],"data":[26,59],"that":[28,62],"predicted":[31],"outcomes":[32],"unseen":[34],"data.":[35],"The":[36],"approaches":[38],"applied":[40],"multi-label":[42],"classification":[43],"wherein":[44],"each":[45],"instance":[46],"may":[47],"simultaneously":[48],"belong":[49],"more":[51],"than":[52],"one":[53],"label.":[54],"Experimental":[55],"results":[56],"on":[57],"two":[58],"sets":[60],"confirm":[61],"performance":[64],"well-known":[67],"binary":[68],"relevance":[69],"method":[70],"can":[71],"be":[72],"improved":[73],"when":[74],"combined":[75],"with":[76],"techniques.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
