{"id":"https://openalex.org/W4416017538","doi":"https://doi.org/10.1145/3746252.3761150","title":"Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata","display_name":"Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017538","doi":"https://doi.org/10.1145/3746252.3761150"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761150","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761150","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746252.3761150","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017375468","display_name":"Namita Bajpai","orcid":"https://orcid.org/0000-0002-5817-5407"},"institutions":[{"id":"https://openalex.org/I5847235","display_name":"University of Petroleum and Energy Studies","ror":"https://ror.org/04q2jes40","country_code":"IN","type":"education","lineage":["https://openalex.org/I5847235"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Namita Bajpai","raw_affiliation_strings":["School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India"],"raw_orcid":"https://orcid.org/0000-0002-5817-5407","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India","institution_ids":["https://openalex.org/I5847235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062553068","display_name":"Jiaul H. Paik","orcid":"https://orcid.org/0000-0003-1550-3586"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jiaul H Paik","raw_affiliation_strings":["Department of Artificial Intelligence, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0003-1550-3586","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024219981","display_name":"Sudeshna Sarkar","orcid":"https://orcid.org/0000-0003-3439-4282"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudeshna Sarkar","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0003-3439-4282","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29360751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9158999919891357,"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":0.9158999919891357,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.016699999570846558,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.013000000268220901,"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/subclass","display_name":"Subclass","score":0.8086000084877014},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6747000217437744},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6176000237464905},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49939998984336853},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4496000111103058},{"id":"https://openalex.org/keywords/cut-point","display_name":"Cut-point","score":0.41920000314712524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40880000591278076},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.38350000977516174}],"concepts":[{"id":"https://openalex.org/C2776194381","wikidata":"https://www.wikidata.org/wiki/Q3965271","display_name":"Subclass","level":3,"score":0.8086000084877014},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6747000217437744},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6176000237464905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896999835968018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5504999756813049},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46050000190734863},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4424000084400177},{"id":"https://openalex.org/C2781415353","wikidata":"https://www.wikidata.org/wiki/Q5196602","display_name":"Cut-point","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3824999928474426},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761150","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761150","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3746252.3761150","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761150","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1524787014","https://openalex.org/W1970149092","https://openalex.org/W1994213117","https://openalex.org/W2030644393","https://openalex.org/W2120483845","https://openalex.org/W2557738935","https://openalex.org/W2896817483","https://openalex.org/W2901782819","https://openalex.org/W2936503027","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2990604239","https://openalex.org/W2992308087","https://openalex.org/W3011721937","https://openalex.org/W3085482458","https://openalex.org/W3103014337","https://openalex.org/W4205384327","https://openalex.org/W4235169531","https://openalex.org/W4255314301","https://openalex.org/W4390873567"],"related_works":[],"abstract_inverted_index":{"Classification":[0],"models":[1,14],"in":[2,46,51,68],"machine":[3],"learning":[4],"are":[5],"typically":[6],"trained":[7],"using":[8],"coarse-grained":[9],"class":[10,43],"labels.":[11],"Although":[12],"these":[13,83,105],"often":[15],"achieve":[16],"strong":[17],"overall":[18],"accuracy,":[19],"their":[20],"performance":[21],"is":[22],"asymmetric":[23],"across":[24,114,148],"the":[25,38,110,115,156],"subclasses":[26,40,64,95,120],"that":[27,90],"arise":[28],"out":[29],"of":[30,160],"a":[31,87,97],"common":[32],"phenomenon":[33],"called":[34],"hidden":[35,94],"stratification.":[36],"Generally,":[37],"latent":[39],"within":[41],"each":[42],"differ":[44],"substantially":[45],"distribution":[47],"and":[48,70,128,142,151,158],"characteristics,":[49],"resulting":[50,67],"poor":[52],"generalization":[53],"for":[54,75],"underrepresented":[55],"groups.":[56],"Moreover,":[57],"imbalanced":[58,152],"subclass":[59,132,153],"distributions":[60],"lead":[61],"to":[62,92,108,131],"majority":[63],"dominating":[65],"training,":[66],"biased":[69],"less":[71],"reliable":[72],"models,":[73],"especially":[74],"safety-critical":[76],"applications":[77],"(such":[78],"as":[79],"medical).":[80],"To":[81],"address":[82],"challenges,":[84],"we":[85],"propose":[86],"novel":[88],"framework":[89],"attempts":[91],"uncover":[93],"via":[96],"repulsive":[98],"point":[99],"process.":[100],"Our":[101,117],"approach":[102,118],"then":[103],"leverages":[104],"fine-grained":[106],"labels":[107],"make":[109],"classifier":[111],"more":[112],"inclusive":[113],"subclasses.":[116],"identifies":[119],"without":[121],"requiring":[122],"additional":[123],"supervision,":[124],"thereby":[125],"promoting":[126],"diversity":[127],"reducing":[129],"sensitivity":[130],"imbalance.":[133],"Extensive":[134],"experiments":[135],"on":[136],"four":[137],"benchmark":[138],"datasets":[139],"demonstrate":[140],"consistent":[141],"significant":[143],"improvements":[144],"over":[145],"state-of-the-art":[146],"baselines":[147],"both":[149],"balanced":[150],"distributions,":[154],"underscoring":[155],"effectiveness":[157],"generalizability":[159],"our":[161],"approach.":[162]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}
