{"id":"https://openalex.org/W2783311153","doi":"https://doi.org/10.1109/iciinfs.2016.8262990","title":"MIMLTWSVM: Twin support vector machine for multi-instance multi-label learning","display_name":"MIMLTWSVM: Twin support vector machine for multi-instance multi-label learning","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2783311153","doi":"https://doi.org/10.1109/iciinfs.2016.8262990","mag":"2783311153"},"language":"en","primary_location":{"id":"doi:10.1109/iciinfs.2016.8262990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2016.8262990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","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/A5075837442","display_name":"Divya Tomar","orcid":"https://orcid.org/0000-0001-6311-6500"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Divya Tomar","raw_affiliation_strings":["Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004401828","display_name":"Sonali Agarwal","orcid":"https://orcid.org/0000-0001-9083-5033"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonali Agarwal","raw_affiliation_strings":["Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075837442"],"corresponding_institution_ids":["https://openalex.org/I26072440"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16220972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"89","issue":null,"first_page":"492","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9785000085830688,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9717000126838684,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7762908935546875},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7714431881904602},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7461086511611938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6781061291694641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6729591488838196},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.6171228885650635},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.5653692483901978},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5466147661209106},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.5377680659294128},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4585364758968353},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4439792037010193},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.42283880710601807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41445326805114746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20695948600769043},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09326079487800598}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7762908935546875},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7714431881904602},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7461086511611938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781061291694641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6729591488838196},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.6171228885650635},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.5653692483901978},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5466147661209106},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5377680659294128},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4585364758968353},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4439792037010193},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.42283880710601807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41445326805114746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20695948600769043},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09326079487800598},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciinfs.2016.8262990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2016.8262990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W79050221","https://openalex.org/W1528620860","https://openalex.org/W1563088657","https://openalex.org/W1566475663","https://openalex.org/W1869391892","https://openalex.org/W1978996791","https://openalex.org/W1985035762","https://openalex.org/W2002998295","https://openalex.org/W2019184604","https://openalex.org/W2027266161","https://openalex.org/W2037248153","https://openalex.org/W2043700142","https://openalex.org/W2056683549","https://openalex.org/W2071860674","https://openalex.org/W2076300071","https://openalex.org/W2081621367","https://openalex.org/W2089071629","https://openalex.org/W2090089568","https://openalex.org/W2110119381","https://openalex.org/W2119821739","https://openalex.org/W2121625657","https://openalex.org/W2132425109","https://openalex.org/W2135533176","https://openalex.org/W2136510126","https://openalex.org/W2141177188","https://openalex.org/W2154840533","https://openalex.org/W2170860445","https://openalex.org/W2537802637","https://openalex.org/W4239510810","https://openalex.org/W4242942322","https://openalex.org/W6603231919","https://openalex.org/W6639165917","https://openalex.org/W6680087646","https://openalex.org/W6680102115"],"related_works":["https://openalex.org/W3142456129","https://openalex.org/W2391740273","https://openalex.org/W2130972437","https://openalex.org/W1988416745","https://openalex.org/W597801233","https://openalex.org/W2378824341","https://openalex.org/W2382794601","https://openalex.org/W2077867740","https://openalex.org/W2393390768","https://openalex.org/W2159177950"],"abstract_inverted_index":{"Recently,":[0],"Multi":[1,3],"Instance":[2],"Label":[4],"(MIML)":[5],"learning":[6,73],"has":[7,65,106,122],"attracted":[8],"the":[9,45,60,75,81,84,117,136,139],"attention":[10],"of":[11,62,103,138],"researchers":[12],"in":[13,74,80],"which":[14],"an":[15],"example":[16],"not":[17],"only":[18],"belongs":[19],"to":[20,68,114],"multiple":[21,27],"instances":[22],"but":[23],"also":[24],"associated":[25],"with":[26],"class":[28],"labels.":[29],"This":[30],"study":[31],"proposes":[32],"a":[33],"novel":[34],"multi-instance":[35,63],"multi-label":[36,64,91],"twin":[37,49,92],"support":[38,50,93],"vector":[39,51,94],"machine":[40,52,95],"(MIMLTWSVM)":[41],"classifier":[42,56,105,141],"by":[43,89,109],"extending":[44],"recently":[46],"proposed":[47,104,140],"binary":[48],"(TWSVM)":[53],"classifier.":[54,96],"MIMLTWSVM":[55],"involves":[57],"two":[58,126],"steps-(1)":[59],"problem":[61,86],"been":[66,107,123],"converted":[67],"single":[69],"instance":[70],"multi":[71],"label":[72],"first":[76],"step":[77],"and":[78,130,154],"(2)":[79],"second":[82],"step,":[83],"derived":[85],"is":[87],"solved":[88,108],"using":[90],"The":[97,120,132],"involved":[98],"Quadratic":[99],"Programming":[100],"Problems":[101],"(QPPs)":[102],"Successive":[110],"Over-Relaxation":[111],"(SOR)":[112],"technique":[113],"speed":[115],"up":[116],"training":[118],"procedure.":[119],"experiment":[121],"conducted":[124],"on":[125],"MIML":[127,146],"benchmark":[128],"datasets-Scene":[129],"Reuters.":[131],"experimental":[133],"results":[134],"demonstrate":[135],"superiority":[137],"over":[142],"several":[143],"existing":[144],"state-of-the-art":[145],"classifiers":[147],"such":[148],"as":[149],"MIMLSVM,":[150],"MIMLRBF,":[151],"MIMLBOOST,":[152],"MIML-kNN":[153],"M":[155],"<sup":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[158],"MIML.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
