{"id":"https://openalex.org/W1965380665","doi":"https://doi.org/10.1109/ijcnn.2012.6252784","title":"Multi-instance learning using recurrent neural networks","display_name":"Multi-instance learning using recurrent neural networks","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1965380665","doi":"https://doi.org/10.1109/ijcnn.2012.6252784","mag":"1965380665"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1273413","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060005929","display_name":"Artur d\u2019Avila Garcez","orcid":"https://orcid.org/0000-0001-7375-9518"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. S d'Avila Garcez","raw_affiliation_strings":["Department of Computing, City University London, London, UK","Department of Computing, City University London, Northampton Square, EC1V 0HB UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, City University London, London, UK","institution_ids":["https://openalex.org/I180825142"]},{"raw_affiliation_string":"Department of Computing, City University London, Northampton Square, EC1V 0HB UK","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012291023","display_name":"Gerson Zaverucha","orcid":"https://orcid.org/0000-0002-3641-6839"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"G. Zaverucha","raw_affiliation_strings":["Programa de Engenharia de Sistemas e Computa\u00e7\u00e3o, COPPE/UFRJ, Rio de Janeiro, Brazil","Programa de Engenharia de Sistemas e Computa\u00e7\u00e3o, COPPE/UFRJ, Caixa Postal 68511, 21945-970, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programa de Engenharia de Sistemas e Computa\u00e7\u00e3o, COPPE/UFRJ, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Programa de Engenharia de Sistemas e Computa\u00e7\u00e3o, COPPE/UFRJ, Caixa Postal 68511, 21945-970, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9803000092506409,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9803000092506409,"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":0.7589887380599976},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5189352035522461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5134876370429993},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4878561496734619},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.42901909351348877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.399566113948822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589887380599976},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5189352035522461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5134876370429993},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4878561496734619},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.42901909351348877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.399566113948822}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1273413","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273413","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1273413","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273413","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W24402856","https://openalex.org/W149725197","https://openalex.org/W1509884358","https://openalex.org/W1545139845","https://openalex.org/W1546359867","https://openalex.org/W1551987893","https://openalex.org/W1578460389","https://openalex.org/W1929873255","https://openalex.org/W1966233349","https://openalex.org/W1978240667","https://openalex.org/W2078579128","https://openalex.org/W2098239572","https://openalex.org/W2110119381","https://openalex.org/W2117431327","https://openalex.org/W2125479168","https://openalex.org/W2154318594","https://openalex.org/W2154642048","https://openalex.org/W2159727905","https://openalex.org/W2163474322","https://openalex.org/W2766736793","https://openalex.org/W3133056632","https://openalex.org/W4244496462","https://openalex.org/W4300668030","https://openalex.org/W6600987510","https://openalex.org/W6605955267","https://openalex.org/W6632989917","https://openalex.org/W6640500741","https://openalex.org/W6669992580","https://openalex.org/W6677475326","https://openalex.org/W6682610290","https://openalex.org/W6683033130"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Multiple":[0],"instance":[1,34],"learning":[2,78],"is":[3,17,35,79],"an":[4],"increasingly":[5],"important":[6],"area":[7],"in":[8],"machine":[9],"learning.":[10,49,59],"In":[11,39],"multi-instance":[12,48,58,69,77,97],"learning,":[13,98],"the":[14,30,44,63],"training":[15],"set":[16],"structured":[18],"into":[19],"subsets":[20],"(or":[21],"bags)":[22],"of":[23,32,110],"instances.":[24],"The":[25,71],"bags":[26],"are":[27],"labelled,":[28],"but":[29],"label":[31],"each":[33],"unknown":[36],"or":[37],"irrelevant.":[38],"this":[40],"paper,":[41],"we":[42],"revisit":[43],"connectionist":[45,76,90],"approach":[46,91],"to":[47,66],"We":[50,60,85],"propose":[51],"a":[52,67,88,108],"recurrent":[53],"neural":[54],"network":[55],"model":[56,65],"for":[57],"have":[61],"applied":[62],"new":[64],"benchmark":[68],"dataset.":[70],"results":[72,101],"provide":[73,93],"evidence":[74],"that":[75,87],"more":[80],"promising":[81],"than":[82],"previously":[83],"anticipated.":[84],"argue":[86],"principled":[89],"should":[92,102],"robust":[94],"and":[95],"efficient":[96],"yet":[99],"comparative":[100],"be":[103],"taken":[104],"with":[105],"caution":[106],"as":[107],"result":[109],"varying":[111],"methodologies.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}