{"id":"https://openalex.org/W3111583402","doi":"https://doi.org/10.3390/a14120344","title":"A Visual Mining Approach to Improved Multiple- Instance Learning","display_name":"A Visual Mining Approach to Improved Multiple- Instance Learning","publication_year":2021,"publication_date":"2021-11-27","ids":{"openalex":"https://openalex.org/W3111583402","doi":"https://doi.org/10.3390/a14120344","mag":"3111583402"},"language":"en","primary_location":{"id":"doi:10.3390/a14120344","is_oa":true,"landing_page_url":"http://doi.org/10.3390/a14120344","pdf_url":"https://www.mdpi.com/1999-4893/14/12/344/pdf?version=1640174921","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/14/12/344/pdf?version=1640174921","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072638742","display_name":"Sonia Castelo","orcid":"https://orcid.org/0000-0001-6881-3006"},"institutions":[{"id":"https://openalex.org/I3130590570","display_name":"Universidad Nacional de San Agustin de Arequipa","ror":"https://ror.org/01e9gfg41","country_code":"PE","type":"education","lineage":["https://openalex.org/I3130590570"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["PE","US"],"is_corresponding":true,"raw_author_name":"Sonia Castelo","raw_affiliation_strings":["EPIS, Universidad Nacional de San Agust\u00edn de Arequipa, Arequipa 04001, Peru","NYU Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA"],"affiliations":[{"raw_affiliation_string":"EPIS, Universidad Nacional de San Agust\u00edn de Arequipa, Arequipa 04001, Peru","institution_ids":["https://openalex.org/I3130590570"]},{"raw_affiliation_string":"NYU Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029845097","display_name":"Moacir Antonelli Ponti","orcid":"https://orcid.org/0000-0003-2059-9463"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Moacir Ponti","raw_affiliation_strings":["ICMC, Universidade de S\u00e3o Paulo, S\u00e3o Carlos, SP 13566-590, Brazil"],"affiliations":[{"raw_affiliation_string":"ICMC, Universidade de S\u00e3o Paulo, S\u00e3o Carlos, SP 13566-590, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066927815","display_name":"Rosane Minghim","orcid":"https://orcid.org/0000-0002-4799-8774"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Rosane Minghim","raw_affiliation_strings":["School of Computer Science and Information Technology, University College Cork, T12 YN62 Cork, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Technology, University College Cork, T12 YN62 Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072638742"],"corresponding_institution_ids":["https://openalex.org/I3130590570","https://openalex.org/I57206974"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00704476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"12","first_page":"344","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9921000003814697,"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/T11106","display_name":"Data Management and Algorithms","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8276863098144531},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7112514972686768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6852068901062012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597641110420227},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5900396108627319},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5573394894599915},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5204917788505554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49938273429870605},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4646790325641632},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.460267573595047},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4256019592285156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13016188144683838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276863098144531},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7112514972686768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6852068901062012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597641110420227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5900396108627319},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5573394894599915},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5204917788505554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49938273429870605},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4646790325641632},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.460267573595047},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4256019592285156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13016188144683838},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/a14120344","is_oa":true,"landing_page_url":"http://doi.org/10.3390/a14120344","pdf_url":"https://www.mdpi.com/1999-4893/14/12/344/pdf?version=1640174921","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2012.07257","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.07257","pdf_url":"https://arxiv.org/pdf/2012.07257","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:3111583402","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.07257","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:doaj.org/article:72f2c3e501e1469883474897b80ebe38","is_oa":true,"landing_page_url":"https://doaj.org/article/72f2c3e501e1469883474897b80ebe38","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 14, Iss 12, p 344 (2021)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2012.07257","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.07257","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":"doi:10.3390/a14120344","is_oa":true,"landing_page_url":"http://doi.org/10.3390/a14120344","pdf_url":"https://www.mdpi.com/1999-4893/14/12/344/pdf?version=1640174921","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1874305492","display_name":null,"funder_award_id":"307411/2016-8 and 304266/2020-5 and 134238/2013-3","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G4867560464","display_name":null,"funder_award_id":"2013/24055-2 and 2019/07316-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3111583402.pdf","grobid_xml":"https://content.openalex.org/works/W3111583402.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W7903576","https://openalex.org/W90131235","https://openalex.org/W136849847","https://openalex.org/W1509629526","https://openalex.org/W1563294799","https://openalex.org/W1597093734","https://openalex.org/W1772174758","https://openalex.org/W1945238437","https://openalex.org/W1981119726","https://openalex.org/W1997842451","https://openalex.org/W2024968541","https://openalex.org/W2034445978","https://openalex.org/W2041823554","https://openalex.org/W2048827870","https://openalex.org/W2076291451","https://openalex.org/W2087544334","https://openalex.org/W2098166271","https://openalex.org/W2100361790","https://openalex.org/W2101474491","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2112076978","https://openalex.org/W2120329225","https://openalex.org/W2127608660","https://openalex.org/W2131917046","https://openalex.org/W2132747517","https://openalex.org/W2135533176","https://openalex.org/W2136595724","https://openalex.org/W2137215532","https://openalex.org/W2141284791","https://openalex.org/W2151134200","https://openalex.org/W2151308089","https://openalex.org/W2162685317","https://openalex.org/W2162825485","https://openalex.org/W2163474322","https://openalex.org/W2164816523","https://openalex.org/W2165466912","https://openalex.org/W2180566385","https://openalex.org/W2402994219","https://openalex.org/W2479500547","https://openalex.org/W2560886373","https://openalex.org/W2607662938","https://openalex.org/W2937311542","https://openalex.org/W2959154628","https://openalex.org/W3099514962","https://openalex.org/W3120740533","https://openalex.org/W3165084406","https://openalex.org/W4230699754","https://openalex.org/W6676769703","https://openalex.org/W6680240620","https://openalex.org/W6682397892"],"related_works":["https://openalex.org/W2123073303","https://openalex.org/W2560886373","https://openalex.org/W2781712876","https://openalex.org/W2520758021","https://openalex.org/W2964154753","https://openalex.org/W16827692","https://openalex.org/W2909459066","https://openalex.org/W1492130155","https://openalex.org/W2574971744","https://openalex.org/W2775947831","https://openalex.org/W3128435455","https://openalex.org/W2069344467","https://openalex.org/W2117763124","https://openalex.org/W2894448360","https://openalex.org/W3013319798","https://openalex.org/W2765202980","https://openalex.org/W2045649112","https://openalex.org/W2107213321","https://openalex.org/W2773553693"],"abstract_inverted_index":{"Multiple-instance":[0],"learning":[1,8,54,68],"(MIL)":[2],"is":[3,27,69,179],"a":[4,13,49,70,82],"paradigm":[5,71],"of":[6,16,95,163,181,190],"machine":[7],"that":[9,66,72,194,209],"aims":[10],"to":[11,22,34,52,88,109,114,157],"classify":[12],"set":[14],"(bag)":[15],"objects":[17],"(instances),":[18],"assigning":[19],"labels":[20],"only":[21],"the":[23,58,62,96,99,102,106,116,138,159,164,167,175,182,188,215],"bags.":[24],"This":[25],"problem":[26,41],"often":[28],"addressed":[29],"by":[30,56,76,173,197],"selecting":[31],"an":[32,39,120],"instance":[33,129,211],"represent":[35],"each":[36,110],"bag,":[37,111],"transforming":[38],"MIL":[40,90,117,206],"into":[42,61],"standard":[43],"supervised":[44],"learning.":[45],"Visualization":[46],"can":[47,144,199],"be":[48,74],"useful":[50],"tool":[51],"assess":[53],"scenarios":[55,207],"incorporating":[57],"users\u2019":[59],"knowledge":[60],"classification":[63,169],"process.":[64],"Considering":[65],"multiple-instance":[67],"cannot":[73],"handled":[75],"current":[77],"visualization":[78,85],"techniques,":[79],"we":[80,125],"propose":[81,126],"multiscale":[83],"tree-based":[84],"called":[86],"MILTree":[87,165,198],"support":[89,162,200],"problems.":[91],"The":[92],"first":[93],"level":[94,104],"tree":[97],"represents":[98,105],"bags,":[100],"and":[101,148,202,208],"second":[103],"instances":[107],"belonging":[108],"allowing":[112],"users":[113,136],"understand":[115],"datasets":[118],"in":[119,205,219],"intuitive":[121],"way.":[122],"In":[123,151],"addition,":[124],"two":[127],"new":[128],"selection":[130,212],"methods":[131,143,213],"for":[132],"MIL,":[133],"which":[134,178],"help":[135],"improve":[137],"model":[139,170],"even":[140],"further.":[141],"Our":[142],"handle":[145],"both":[146],"binary":[147],"multiclass":[149],"scenarios.":[150],"our":[152,191,210],"experiments,":[153],"SVM":[154],"was":[155,171],"used":[156],"build":[158],"classifiers.":[160],"With":[161],"layout,":[166],"initial":[168],"updated":[172],"changing":[174],"training":[176],"set,":[177],"composed":[180],"prototype":[183],"instances.":[184],"Experimental":[185],"results":[186],"validate":[187],"effectiveness":[189],"approach,":[192],"showing":[193],"visual":[195],"mining":[196],"exploring":[201],"improving":[203],"models":[204],"outperform":[214],"currently":[216],"available":[217],"alternatives":[218],"most":[220],"cases.":[221]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
