{"id":"https://openalex.org/W2913816472","doi":"https://doi.org/10.1109/tkde.2019.2894148","title":"Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning","display_name":"Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning","publication_year":2019,"publication_date":"2019-01-23","ids":{"openalex":"https://openalex.org/W2913816472","doi":"https://doi.org/10.1109/tkde.2019.2894148","mag":"2913816472"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2894148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2894148","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5101966587","display_name":"Shounak Datta","orcid":"https://orcid.org/0000-0003-3774-556X"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shounak Datta","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0003-3774-556X","affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064959301","display_name":"Sayak Nag","orcid":"https://orcid.org/0000-0002-5978-5784"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sayak Nag","raw_affiliation_strings":["DST Center of Excellence, Center of Atmospheric Sciences, Indian Institute of Technology, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-5978-5784","affiliations":[{"raw_affiliation_string":"DST Center of Excellence, Center of Atmospheric Sciences, Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000078546","display_name":"Swagatam Das","orcid":"https://orcid.org/0000-0001-6843-4508"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swagatam Das","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0001-6843-4508","affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0367,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.93142157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":"5","first_page":"883","last_page":"897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9710000157356262,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9465000033378601,"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/boosting","display_name":"Boosting (machine learning)","score":0.7739320993423462},{"id":"https://openalex.org/keywords/lexicographical-order","display_name":"Lexicographical order","score":0.7023996710777283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6921520233154297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5410844087600708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5349344611167908},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4869745671749115},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4325731694698334},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41847875714302063},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.41013988852500916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25389349460601807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2345922589302063}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7739320993423462},{"id":"https://openalex.org/C159254197","wikidata":"https://www.wikidata.org/wiki/Q1144915","display_name":"Lexicographical order","level":2,"score":0.7023996710777283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921520233154297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5410844087600708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5349344611167908},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4869745671749115},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4325731694698334},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41847875714302063},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.41013988852500916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25389349460601807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2345922589302063},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2894148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2894148","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W1540007258","https://openalex.org/W1559579618","https://openalex.org/W1563938718","https://openalex.org/W1860210779","https://openalex.org/W1912982817","https://openalex.org/W1972978214","https://openalex.org/W1974758710","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W2000563363","https://openalex.org/W2009576740","https://openalex.org/W2014551788","https://openalex.org/W2018186689","https://openalex.org/W2024223694","https://openalex.org/W2032326552","https://openalex.org/W2040010062","https://openalex.org/W2040661907","https://openalex.org/W2041282815","https://openalex.org/W2053260238","https://openalex.org/W2059083350","https://openalex.org/W2062176950","https://openalex.org/W2065949941","https://openalex.org/W2066590618","https://openalex.org/W2071563913","https://openalex.org/W2093717447","https://openalex.org/W2096235960","https://openalex.org/W2096945460","https://openalex.org/W2099454382","https://openalex.org/W2099968818","https://openalex.org/W2103614420","https://openalex.org/W2104955141","https://openalex.org/W2106479238","https://openalex.org/W2107742354","https://openalex.org/W2108598243","https://openalex.org/W2112076978","https://openalex.org/W2119157339","https://openalex.org/W2120396754","https://openalex.org/W2123977051","https://openalex.org/W2125055259","https://openalex.org/W2125607229","https://openalex.org/W2143386126","https://openalex.org/W2162698522","https://openalex.org/W2163194396","https://openalex.org/W2183341477","https://openalex.org/W2294223532","https://openalex.org/W2338318698","https://openalex.org/W2440599146","https://openalex.org/W2479224401","https://openalex.org/W2520599539","https://openalex.org/W2550538833","https://openalex.org/W2596340169","https://openalex.org/W2620873085","https://openalex.org/W2763110968","https://openalex.org/W2764270061","https://openalex.org/W2790031975","https://openalex.org/W2912934387","https://openalex.org/W3004732066","https://openalex.org/W3026149606","https://openalex.org/W4212883601","https://openalex.org/W4229687359","https://openalex.org/W4229859894","https://openalex.org/W4247128285","https://openalex.org/W4248437541","https://openalex.org/W4252684946","https://openalex.org/W6603460400","https://openalex.org/W6675272622","https://openalex.org/W6675785006","https://openalex.org/W6676029316","https://openalex.org/W6676769703","https://openalex.org/W6678797503","https://openalex.org/W6684226807"],"related_works":["https://openalex.org/W1985455246","https://openalex.org/W1993634787","https://openalex.org/W3125614403","https://openalex.org/W2476923378","https://openalex.org/W2803221307","https://openalex.org/W2951826204","https://openalex.org/W4211001408","https://openalex.org/W2366147410","https://openalex.org/W2177546144","https://openalex.org/W2089608799"],"abstract_inverted_index":{"A":[0],"large":[1],"amount":[2],"of":[3,35,54,61,67,74,78,82,159,242],"research":[4],"effort":[5],"has":[6,120],"been":[7,122],"dedicated":[8],"to":[9,20,24,63,100,113,115,151,194,202,213],"adapting":[10],"boosting":[11,16],"for":[12,28,39,49,125,157],"imbalanced":[13,126,223],"classification.":[14,127],"However,":[15],"methods":[17],"are":[18,147,167],"yet":[19],"be":[21,72,98],"satisfactorily":[22],"immune":[23],"class":[25,41],"imbalance,":[26],"especially":[27],"multi-class":[29,203],"problems.":[30,204],"This":[31],"is":[32,130,185,190,198],"because":[33],"most":[34],"the":[36,51,59,64,85,88,106,123,160,163,171,175,182,188,209,214,240,243],"existing":[37],"solutions":[38],"handling":[40],"imbalance":[42],"rely":[43],"on":[44,132,219,228],"expensive":[45],"cost":[46,116],"set":[47,117],"tuning":[48],"determining":[50],"proper":[52],"level":[53],"compensation.":[55],"We":[56,91],"show":[57],"that":[58,170],"assignment":[60],"weights":[62,166],"component":[65,144,165],"classifiers":[66],"a":[68,76,102,133,153],"boosted":[69],"ensemble":[70],"can":[71,97],"thought":[73],"as":[75,150,225,227,232],"game":[77],"<italic":[79],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Tug":[81],"War</i>":[83],"between":[84,105],"classes":[86,110],"in":[87,181],"margin":[89],"space.":[90],"then":[92],"demonstrate":[93],"how":[94],"this":[95],"insight":[96],"used":[99],"attain":[101],"good":[103],"compromise":[104],"rare":[107],"and":[108,221,236],"abundant":[109],"without":[111],"having":[112],"resort":[114],"tuning,":[118],"which":[119,138],"long":[121],"norm":[124],"The":[128],"solution":[129],"based":[131],"lexicographic":[134],"linear":[135],"programming":[136],"framework":[137],"requires":[139],"two":[140],"stages.":[141],"Initially,":[142],"class-specific":[143,176],"weight":[145],"combinations":[146],"found":[148],"so":[149,169],"minimize":[152],"hinge":[154],"loss":[155,178],"individually":[156],"each":[158],"classes.":[161],"Subsequently,":[162],"final":[164],"assigned":[168],"maximum":[172],"deviation":[173],"from":[174],"minimum":[177],"values":[179],"(obtained":[180],"previous":[183],"stage)":[184],"minimized.":[186],"Hence,":[187],"proposal":[189],"not":[191],"only":[192],"restricted":[193],"two-class":[195],"situations,":[196],"but":[197],"also":[199,207],"readily":[200],"applicable":[201],"Additionally,":[205],"we":[206],"derive":[208],"dual":[210],"formulation":[211],"corresponding":[212],"proposed":[215],"framework.":[216],"Experiments":[217],"conducted":[218],"artificial":[220],"real-world":[222],"datasets":[224],"well":[226],"challenging":[229],"applications":[230],"such":[231],"hyperspectral":[233],"image":[234],"classification":[235,238],"ImageNet":[237],"establish":[239],"efficacy":[241],"proposal.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}