{"id":"https://openalex.org/W3081161286","doi":"https://doi.org/10.1109/tnnls.2020.3015442","title":"A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning","display_name":"A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3081161286","doi":"https://doi.org/10.1109/tnnls.2020.3015442","mag":"3081161286","pmid":"https://pubmed.ncbi.nlm.nih.gov/32822307"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3015442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3015442","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004142882","display_name":"Matteo Avolio","orcid":"https://orcid.org/0000-0002-6296-5938"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Matteo Avolio","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Calabria, Rende, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6296-5938","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072836873","display_name":"Antonio Fuduli","orcid":"https://orcid.org/0000-0002-1657-0257"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Fuduli","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Calabria, Rende, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1657-0257","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004142882"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":2.1586,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89709198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":"8","first_page":"3566","last_page":"3577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9836000204086304,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9761000275611877,"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/hyperplane","display_name":"Hyperplane","score":0.9424843788146973},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7941956520080566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6527953743934631},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6359601616859436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5781402587890625},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5517390966415405},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5210113525390625},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5023331642150879},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4953705072402954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4811457395553589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4796053171157837},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4262278378009796},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41207075119018555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37765228748321533},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10723245143890381}],"concepts":[{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.9424843788146973},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7941956520080566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6527953743934631},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6359601616859436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781402587890625},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5517390966415405},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5210113525390625},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5023331642150879},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4953705072402954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4811457395553589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4796053171157837},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4262278378009796},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41207075119018555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37765228748321533},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10723245143890381},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3015442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3015442","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32822307","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32822307","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1535599202","https://openalex.org/W1540764732","https://openalex.org/W1563088657","https://openalex.org/W1565746575","https://openalex.org/W1974758710","https://openalex.org/W2010792435","https://openalex.org/W2020934501","https://openalex.org/W2032305870","https://openalex.org/W2069231281","https://openalex.org/W2078579128","https://openalex.org/W2083406795","https://openalex.org/W2086199304","https://openalex.org/W2095796212","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2132425109","https://openalex.org/W2156909104","https://openalex.org/W2158617645","https://openalex.org/W2169284845","https://openalex.org/W2170487914","https://openalex.org/W2339536149","https://openalex.org/W2560886373","https://openalex.org/W2571156573","https://openalex.org/W2598214175","https://openalex.org/W2754518108","https://openalex.org/W2899041612","https://openalex.org/W2910458439","https://openalex.org/W2959154628","https://openalex.org/W2966273810","https://openalex.org/W4256046638","https://openalex.org/W6669992580","https://openalex.org/W6676245398"],"related_works":["https://openalex.org/W3144681993","https://openalex.org/W2741028958","https://openalex.org/W4379620080","https://openalex.org/W2345184372","https://openalex.org/W1480391248","https://openalex.org/W4280511930","https://openalex.org/W2919406311","https://openalex.org/W2187500075","https://openalex.org/W2395791716","https://openalex.org/W2080146971"],"abstract_inverted_index":{"We":[0],"face":[1],"a":[2,55,96,122,128,142,158,173],"binary":[3],"multiple":[4],"instance":[5],"learning":[6],"(MIL)":[7],"problem,":[8],"whose":[9],"objective":[10],"is":[11,93,124,141],"to":[12,65,67],"discriminate":[13],"between":[14,134],"two":[15,45,135],"kinds":[16],"of":[17,47,86,149,164,175],"point":[18],"sets:":[19],"positive":[20,151],"and":[21,32,50,52,110],"negative.":[22],"In":[23,89],"the":[24,33,42,70,102,117,132,138,147,150,154,162,165,182],"MIL":[25,68,119,176],"terminology,":[26],"such":[27,121],"sets":[28,179],"are":[29,38,170],"called":[30,39],"bags,":[31,152],"points":[34],"inside":[35],"each":[36],"bag":[37],"instances.":[40],"Considering":[41],"case":[43],"with":[44],"classes":[46],"instances":[48,148,163],"(positive":[49],"negative)":[51],"inspired":[53],"by":[54],"well-established":[56],"instance-space":[57,98],"support":[58],"vector":[59],"machine":[60],"(SVM)":[61],"model,":[62],"we":[63],"propose":[64],"extend":[66],"classification":[69],"proximal":[71,143],"SVM":[72,107],"(PSVM)":[73],"technique":[74],"that":[75,100,145],"has":[76],"revealed":[77],"very":[78],"effective":[79],"for":[80,161],"supervised":[81],"learning,":[82],"especially":[83],"in":[84,131],"terms":[85],"computational":[87],"time.":[88],"particular,":[90],"our":[91],"approach":[92],"based":[94],"on":[95,172],"new":[97],"model":[99,123],"exploits":[101],"benefits":[103],"coming":[104],"from":[105,116,181],"both":[106],"(better":[108],"accuracy)":[109],"PSVM":[111],"(computational":[112],"efficiency)":[113],"paradigms.":[114],"Starting":[115],"standard":[118],"assumption,":[120],"aimed":[125],"at":[126],"generating":[127],"hyperplane":[129,144,160],"placed":[130],"middle":[133],"parallel":[136],"hyperplanes:":[137],"first":[139],"one":[140,156],"clusters":[146],"while":[153],"second":[155],"constitutes":[157],"supporting":[159],"negative":[166],"bags.":[167],"Numerical":[168],"results":[169],"presented":[171],"set":[174],"test":[177],"data":[178],"drawn":[180],"literature.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
