{"id":"https://openalex.org/W2166528042","doi":"https://doi.org/10.1109/fg.2013.6553715","title":"Distribution-sensitive learning for imbalanced datasets","display_name":"Distribution-sensitive learning for imbalanced datasets","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2166528042","doi":"https://doi.org/10.1109/fg.2013.6553715","mag":"2166528042"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2013.6553715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/86107","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100566791","display_name":"Yale Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yale Song","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081398601","display_name":"Louis\u2010Philippe Morency","orcid":"https://orcid.org/0000-0001-6376-7696"},"institutions":[{"id":"https://openalex.org/I4388482679","display_name":"USC Institute for Creative Technologies","ror":"https://ror.org/03hjhvn29","country_code":null,"type":"facility","lineage":["https://openalex.org/I1174212","https://openalex.org/I4388482679"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Louis-Philippe Morency","raw_affiliation_strings":["USC Institute for Creative Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Institute for Creative Technology, USA","institution_ids":["https://openalex.org/I4388482679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112777557","display_name":"Randall Davis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Randall Davis","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7457,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92143422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9975000023841858,"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/T10057","display_name":"Face and Expression Recognition","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7875952124595642},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7537115812301636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6956101059913635},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5088260769844055},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4715069830417633},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4392701983451843},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4190685749053955},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4146754741668701},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36811771988868713},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.090312659740448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07414975762367249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875952124595642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7537115812301636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6956101059913635},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5088260769844055},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4715069830417633},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4392701983451843},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4190685749053955},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4146754741668701},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36811771988868713},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.090312659740448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07414975762367249},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fg.2013.6553715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.854.7314","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.854.7314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ict.usc.edu/pubs/Distribution-Sensitive%20Learning%20for%20Imbalanced%20Datasets.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/86107","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/86107","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/86107","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/86107","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W1554663460","https://openalex.org/W1574715085","https://openalex.org/W1970088130","https://openalex.org/W1981167598","https://openalex.org/W1995113806","https://openalex.org/W2004915807","https://openalex.org/W2038030840","https://openalex.org/W2101534792","https://openalex.org/W2101545465","https://openalex.org/W2104597806","https://openalex.org/W2118978333","https://openalex.org/W2122361470","https://openalex.org/W2125127226","https://openalex.org/W2125838338","https://openalex.org/W2132870739","https://openalex.org/W2137029138","https://openalex.org/W2143516773","https://openalex.org/W2147880316","https://openalex.org/W2148143831","https://openalex.org/W2149706766","https://openalex.org/W2156909104","https://openalex.org/W2163667253","https://openalex.org/W2214725774","https://openalex.org/W2316478175","https://openalex.org/W3029645440","https://openalex.org/W3165127907","https://openalex.org/W4236137412","https://openalex.org/W4293775970","https://openalex.org/W6606837198","https://openalex.org/W6680302214","https://openalex.org/W6682082992","https://openalex.org/W6683897285"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"face":[2],"and":[3,43,65,113,129],"gesture":[4,106],"datasets":[5],"are":[6,21],"by":[7],"nature":[8],"imbalanced":[9,24,33,52,99,137],"across":[10],"classes.":[11],"Conventional":[12],"statistical":[13],"learning":[14,41,62,88,97,123],"models":[15],"(e.g.,":[16],"SVM,":[17],"HMM,":[18],"CRY),":[19],"however,":[20],"sensitive":[22],"to":[23,48,81],"datasets.":[25,118,138],"In":[26],"this":[27],"paper":[28],"we":[29],"show":[30,121],"how":[31],"an":[32],"dataset":[34,60,80],"affects":[35],"the":[36,51,58,70,79,87,108,131],"performance":[37,135],"of":[38],"a":[39,45,63,83],"standard":[40],"algorithm,":[42],"propose":[44],"distribution-sensitive":[46,132],"prior":[47,56,133],"deal":[49],"with":[50,98,136],"data":[53,126],"problem.":[54],"This":[55],"analyzes":[57],"training":[59],"before":[61],"model,":[64],"puts":[66],"more":[67],"weight":[68],"on":[69,92],"samples":[71,77],"from":[72,124],"underrepresented":[73],"classes,":[74],"allowing":[75],"all":[76],"in":[78,86],"have":[82],"balanced":[84,125],"impact":[85],"process.":[89],"We":[90],"report":[91],"two":[93,102],"empirical":[94],"studies":[95],"regarding":[96],"data,":[100],"using":[101],"publicly":[103],"available":[104],"recent":[105],"datasets,":[107],"Microsoft":[109],"Research":[110],"Cambridge-12":[111],"(MSRC-12)":[112],"NATOPS":[114],"aircraft":[115],"handling":[116],"signals":[117],"Experimental":[119],"results":[120],"that":[122,130],"is":[127],"important,":[128],"improves":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
