{"id":"https://openalex.org/W2763798028","doi":"https://doi.org/10.1109/tnnls.2018.2869164","title":"Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems","display_name":"Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2763798028","doi":"https://doi.org/10.1109/tnnls.2018.2869164","mag":"2763798028","pmid":"https://pubmed.ncbi.nlm.nih.gov/30281492"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2869164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2869164","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":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.02584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030861649","display_name":"Marc\u2010Andr\u00e9 Carbonneau","orcid":"https://orcid.org/0000-0002-0677-415X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marc-Andre Carbonneau","raw_affiliation_strings":["\u00c9cole de technologie sup\u00e9rieure, Montreal, QC, Canada","Ecole de technologie sup\u00e9rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0677-415X","affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie sup\u00e9rieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Ecole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eric Granger","raw_affiliation_strings":["\u00c9cole de technologie sup\u00e9rieure, Montreal, QC, Canada","Ecole de technologie sup\u00e9rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6116-7945","affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie sup\u00e9rieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Ecole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004763968","display_name":"Ghyslain Gagnon","orcid":"https://orcid.org/0000-0001-9484-7218"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ghyslain Gagnon","raw_affiliation_strings":["\u00c9cole de technologie sup\u00e9rieure, Montreal, QC, Canada","Ecole de technologie sup\u00e9rieure, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9484-7218","affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie sup\u00e9rieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"Ecole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.3734,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70117901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"5","first_page":"1441","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"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":0.9980999827384949,"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":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.7651631236076355},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6542771458625793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5757110118865967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5546011924743652},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.48451322317123413},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4593420922756195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4398002326488495},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4163110852241516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38589954376220703}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651631236076355},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6542771458625793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5757110118865967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5546011924743652},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.48451322317123413},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4593420922756195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4398002326488495},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4163110852241516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38589954376220703},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tnnls.2018.2869164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2869164","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:30281492","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30281492","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},{"id":"pmh:oai:arXiv.org:1710.02584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.02584","pdf_url":"https://arxiv.org/pdf/1710.02584","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2763798028","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1710.02584.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:espace2.etsmtl.ca:17474","is_oa":false,"landing_page_url":"http://espace2.etsmtl.ca/id/eprint/17474/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"},{"id":"doi:10.48550/arxiv.1710.02584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.02584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.02584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.02584","pdf_url":"https://arxiv.org/pdf/1710.02584","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W86235050","https://openalex.org/W120286951","https://openalex.org/W1484084878","https://openalex.org/W1506588750","https://openalex.org/W1528361845","https://openalex.org/W1535599202","https://openalex.org/W1590983731","https://openalex.org/W1773652845","https://openalex.org/W1905882502","https://openalex.org/W1931639407","https://openalex.org/W1968200975","https://openalex.org/W1978633512","https://openalex.org/W1980511015","https://openalex.org/W1993202648","https://openalex.org/W2010792435","https://openalex.org/W2015103117","https://openalex.org/W2026566343","https://openalex.org/W2029731618","https://openalex.org/W2038531878","https://openalex.org/W2042932437","https://openalex.org/W2067624665","https://openalex.org/W2072761058","https://openalex.org/W2078579128","https://openalex.org/W2080021732","https://openalex.org/W2085989833","https://openalex.org/W2098166271","https://openalex.org/W2098203240","https://openalex.org/W2110119381","https://openalex.org/W2110335748","https://openalex.org/W2125951969","https://openalex.org/W2133288557","https://openalex.org/W2137917285","https://openalex.org/W2144537364","https://openalex.org/W2150691697","https://openalex.org/W2152748974","https://openalex.org/W2153635508","https://openalex.org/W2154318594","https://openalex.org/W2158177997","https://openalex.org/W2162685317","https://openalex.org/W2163474322","https://openalex.org/W2171671120","https://openalex.org/W2248800885","https://openalex.org/W2327422911","https://openalex.org/W2336727000","https://openalex.org/W2555126305","https://openalex.org/W2560886373","https://openalex.org/W2571156573","https://openalex.org/W2735531870","https://openalex.org/W2736081685","https://openalex.org/W2951911250","https://openalex.org/W2962745799","https://openalex.org/W6604900475","https://openalex.org/W6628826841","https://openalex.org/W6630208708","https://openalex.org/W6635080210","https://openalex.org/W6637954352","https://openalex.org/W6669992580","https://openalex.org/W6676245398","https://openalex.org/W6679227803","https://openalex.org/W6683033130","https://openalex.org/W6684158799","https://openalex.org/W6685002949","https://openalex.org/W6704028418","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2947631309","https://openalex.org/W1763443052","https://openalex.org/W2609119553","https://openalex.org/W2112410129","https://openalex.org/W3210403278","https://openalex.org/W2902557560","https://openalex.org/W2572900683","https://openalex.org/W9480776","https://openalex.org/W3162491593","https://openalex.org/W3127668069","https://openalex.org/W3185133004","https://openalex.org/W2144372981","https://openalex.org/W1838330068","https://openalex.org/W3158057508","https://openalex.org/W3195675201","https://openalex.org/W321937070","https://openalex.org/W2111478152","https://openalex.org/W2604608782","https://openalex.org/W2064390898","https://openalex.org/W2783385633"],"abstract_inverted_index":{"A":[0],"growing":[1],"number":[2,229],"of":[3,19,60,115,125,172,186,230,238],"applications,":[4],"e.g.,":[5],"video":[6],"surveillance":[7],"and":[8,148,183],"medical":[9],"image":[10],"analysis,":[11],"require":[12],"training":[13,36,49],"recognition":[14],"systems":[15],"from":[16,208],"large":[17],"amounts":[18],"weakly":[20,89],"annotated":[21],"data,":[22],"while":[23],"some":[24],"targeted":[25],"interactions":[26],"with":[27],"a":[28,50,224],"domain":[29],"expert":[30,55],"are":[31,81,88,101,128],"allowed":[32],"to":[33,56,190,219,233],"improve":[34],"the":[35,54,58,112,140,152,167,184,228,235],"process.":[37],"In":[38,117],"such":[39],"cases,":[40],"active":[41],"learning":[42,77,97],"(AL)":[43],"can":[44],"reduce":[45],"labeling":[46],"costs":[47],"for":[48,70,104,111,122,130],"classifier":[51,146],"by":[52,176],"querying":[53],"provide":[57],"labels":[59,187],"most":[61,141,153],"informative":[62,142],"instances.":[63],"This":[64],"paper":[65],"focuses":[66],"on":[67,95,145],"AL":[68,92,133,242],"methods":[69,93,100,121,197,201],"instance":[71,76,126,132,168,181],"classification":[72],"problems":[73,106,222],"in":[74,166,193,202,227],"multiple":[75,131],"(MIL),":[78],"where":[79],"data":[80,164,207],"arranged":[82],"into":[83],"sets,":[84],"called":[85,159],"bags,":[86],"which":[87],"labeled.":[90],"Most":[91],"focus":[94],"single-instance":[96,241],"problems.":[98],"These":[99],"not":[102],"suitable":[103],"MIL":[105],"because":[107],"they":[108],"cannot":[109],"account":[110],"bag":[113,178],"structure":[114],"data.":[116],"this":[118],"paper,":[119],"new":[120],"bag-level":[123],"aggregation":[124],"informativeness":[127,137,171],"proposed":[129,157,196],"(MIAL).":[134],"The":[135,155,170],"aggregated":[136],"method":[138],"identifies":[139],"instances":[143,173],"based":[144],"uncertainty":[147],"queries":[149,231],"bags":[150],"incorporating":[151],"information.":[154],"other":[156],"method,":[158],"cluster-based":[160],"aggregative":[161],"sampling,":[162],"clusters":[163],"hierarchically":[165],"space.":[169],"is":[174],"assessed":[175],"considering":[177],"labels,":[179,182],"inferred":[180],"proportion":[185],"that":[188,214],"remain":[189],"be":[191],"discovered":[192],"clusters.":[194],"Both":[195],"significantly":[198],"outperform":[199],"reference":[200],"extensive":[203],"experiments":[204],"using":[205,215],"benchmark":[206],"several":[209],"application":[210],"domains.":[211],"Results":[212],"indicate":[213],"an":[216],"appropriate":[217],"strategy":[218],"address":[220],"MIAL":[221],"yields":[223],"significant":[225],"reduction":[226],"needed":[232],"achieve":[234],"same":[236],"level":[237],"performance":[239],"as":[240],"methods.":[243]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
