{"id":"https://openalex.org/W2404281525","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-220","title":"Multi-label classification using conditional dependency networks","display_name":"Multi-label classification using conditional dependency networks","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W2404281525","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-220","mag":"2404281525"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.9988","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.9988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.temple.edu/%7Eyuhong/research/papers/ijcai11guo.pdf","raw_type":"text"},"type":"article","indexed_in":[],"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/A5043824291","display_name":"Yuhong Guo","orcid":"https://orcid.org/0000-0002-7621-342X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhong Guo","raw_affiliation_strings":["Dept. of Computer and Information Sciences, Temple University, Philadelphia, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Sciences, Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074393622","display_name":"Suicheng Gu","orcid":"https://orcid.org/0000-0003-0037-2122"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suicheng Gu","raw_affiliation_strings":["Dept. of Computer and Information Sciences, Temple University, Philadelphia, PA"],"raw_orcid":"https://orcid.org/0000-0003-0037-2122","affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Sciences, Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":15.1592,"has_fulltext":false,"cited_by_count":149,"citation_normalized_percentile":{"value":0.98934743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1300","last_page":"1305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9811000227928162,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9707000255584717,"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/dependency","display_name":"Dependency (UML)","score":0.8148342370986938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7819000482559204},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.692878007888794},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6409460306167603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6298417448997498},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6196216344833374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.599453330039978},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.5987203121185303},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.50743168592453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4401247203350067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3229464590549469}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8148342370986938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819000482559204},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.692878007888794},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6409460306167603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6298417448997498},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6196216344833374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.599453330039978},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.5987203121185303},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.50743168592453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4401247203350067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3229464590549469},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.9988","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.9988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.temple.edu/%7Eyuhong/research/papers/ijcai11guo.pdf","raw_type":"text"},{"id":"mag:2404281525","is_oa":false,"landing_page_url":"https://www.ijcai.org/papers11/Papers/IJCAI11-220.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4699999988079071,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W66588809","https://openalex.org/W86781249","https://openalex.org/W195465510","https://openalex.org/W1502772707","https://openalex.org/W1860991815","https://openalex.org/W1998839399","https://openalex.org/W2020999234","https://openalex.org/W2023492421","https://openalex.org/W2049487246","https://openalex.org/W2053463056","https://openalex.org/W2054358802","https://openalex.org/W2061351061","https://openalex.org/W2118712128","https://openalex.org/W2122672280","https://openalex.org/W2130178369","https://openalex.org/W2143239742","https://openalex.org/W2150102617","https://openalex.org/W2156935079","https://openalex.org/W2165238043","https://openalex.org/W3015464002"],"related_works":["https://openalex.org/W1999954155","https://openalex.org/W2156935079","https://openalex.org/W2129026672","https://openalex.org/W2146241755","https://openalex.org/W2052684427","https://openalex.org/W1998839399","https://openalex.org/W146125889","https://openalex.org/W55768394","https://openalex.org/W2114315281","https://openalex.org/W2166912588","https://openalex.org/W2118712128","https://openalex.org/W2053463056","https://openalex.org/W2138290126","https://openalex.org/W2194775991","https://openalex.org/W2161824996","https://openalex.org/W2145827727","https://openalex.org/W1953606363","https://openalex.org/W66588809","https://openalex.org/W2123217057","https://openalex.org/W2119466907"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"tackle":[4],"the":[5,33,61,68],"challenges":[6],"of":[7],"multi-label":[8,73],"classification":[9,74],"by":[10],"developing":[11],"a":[12,22,40],"general":[13],"condi-tional":[14],"dependency":[15,70],"network":[16],"model.":[17],"The":[18],"proposed":[19,62],"model":[20,46,64],"is":[21],"cyclic":[23],"directed":[24],"graphical":[25],"model,":[26],"which":[27],"provides":[28],"an":[29],"intuitive":[30],"representation":[31],"for":[32,44],"depen-dencies":[34],"among":[35],"multiple":[36],"label":[37,52,69],"variables,":[38],"and":[39,51],"well":[41],"integrated":[42],"framework":[43],"efficient":[45],"training":[47],"using":[48,54],"binary":[49],"classifiers":[50],"predictions":[53],"Gibbs":[55],"sampling":[56],"inference.":[57],"Our":[58],"experiments":[59],"show":[60],"conditional":[63],"can":[65],"effectively":[66],"ex-ploit":[67],"to":[71],"improve":[72],"performance.":[75],"1":[76]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":5}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
