{"id":"https://openalex.org/W3039293784","doi":"https://doi.org/10.1109/fuzz48607.2020.9177549","title":"An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling","display_name":"An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3039293784","doi":"https://doi.org/10.1109/fuzz48607.2020.9177549","mag":"3039293784"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pureadmin.qub.ac.uk/ws/files/213915487/Cameraready_IEEE_An_interpretable_semisupervised_classifier.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079498248","display_name":"Isel Grau","orcid":"https://orcid.org/0000-0002-8035-2887"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Isel Grau","raw_affiliation_strings":["Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Brussel, Belgium"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041981625","display_name":"Dipankar Sengupta","orcid":"https://orcid.org/0000-0002-0896-7879"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dipankar Sengupta","raw_affiliation_strings":["Centre for Cancer Research and Cell Biology, Queens University Belfast, Belfast, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Cancer Research and Cell Biology, Queens University Belfast, Belfast, United Kingdom","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053100629","display_name":"Mar\u00eda Matilde Garc\u00eda Lorenzo","orcid":"https://orcid.org/0000-0002-9007-4446"},"institutions":[{"id":"https://openalex.org/I3018837529","display_name":"Universidad Central \"Marta Abreu\" de las Villas (UCLV)","ror":"https://ror.org/01cdy6h50","country_code":"CU","type":"education","lineage":["https://openalex.org/I3018837529"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Maria M. Garcia Lorenzo","raw_affiliation_strings":["Department of Computer Science, Central University of Las Villas, Santa Clara, Cuba"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Central University of Las Villas, Santa Clara, Cuba","institution_ids":["https://openalex.org/I3018837529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064553018","display_name":"Ann Now\u00e9","orcid":"https://orcid.org/0000-0001-6346-4564"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ann Nowe","raw_affiliation_strings":["Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Brussel, Belgium"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079498248"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":0.7226,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76677858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9976999759674072,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9972000122070312,"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/interpretability","display_name":"Interpretability","score":0.8730106949806213},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7726774215698242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7539241313934326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6559059619903564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367330551147461},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5414405465126038},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4270833134651184},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.42486029863357544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2446390688419342}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8730106949806213},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7726774215698242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7539241313934326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6559059619903564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367330551147461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5414405465126038},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4270833134651184},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.42486029863357544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2446390688419342},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"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":3,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:131224","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/an-interpretable-semisupervised-classifier-using-rough-sets-for-amended-selflabeling(2d295fd5-4f83-4e31-8592-9b66f41f131f).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/6f691b53-8143-4176-91a3-efcff7d83da2","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/6f691b53-8143-4176-91a3-efcff7d83da2","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/213915487/Cameraready_IEEE_An_interpretable_semisupervised_classifier.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Grau, I, Sengupta, D, Lorenzo, M M G & Now\u00e9, A 2020, An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. in Proceedings of the 2020 IEEE International Conference on Fuzzy Systems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE World Congress on Computational Intelligence 2020, Glasgow, United Kingdom, 19/07/2020. https://doi.org/10.1109/FUZZ48607.2020.9177549","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/6f691b53-8143-4176-91a3-efcff7d83da2","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/6f691b53-8143-4176-91a3-efcff7d83da2","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/213915487/Cameraready_IEEE_An_interpretable_semisupervised_classifier.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Grau, I, Sengupta, D, Lorenzo, M M G & Now\u00e9, A 2020, An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. in Proceedings of the 2020 IEEE International Conference on Fuzzy Systems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE World Congress on Computational Intelligence 2020, Glasgow, United Kingdom, 19/07/2020. https://doi.org/10.1109/FUZZ48607.2020.9177549","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3039293784.pdf","grobid_xml":"https://content.openalex.org/works/W3039293784.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1197622812","https://openalex.org/W1493009343","https://openalex.org/W1528113134","https://openalex.org/W1585385982","https://openalex.org/W1589837994","https://openalex.org/W2053154970","https://openalex.org/W2058465495","https://openalex.org/W2087943567","https://openalex.org/W2101210369","https://openalex.org/W2106401878","https://openalex.org/W2107968230","https://openalex.org/W2118314245","https://openalex.org/W2126514932","https://openalex.org/W2133556223","https://openalex.org/W2149489749","https://openalex.org/W2163952039","https://openalex.org/W2182722412","https://openalex.org/W2282821441","https://openalex.org/W2902255491","https://openalex.org/W2911964244","https://openalex.org/W2962790223","https://openalex.org/W2962862931","https://openalex.org/W2963373786","https://openalex.org/W2984353870","https://openalex.org/W3001459730","https://openalex.org/W3006031379","https://openalex.org/W3126705098","https://openalex.org/W4255833381","https://openalex.org/W4287901057","https://openalex.org/W4299408792","https://openalex.org/W6631388279","https://openalex.org/W6635184699","https://openalex.org/W6676348322","https://openalex.org/W6718379498","https://openalex.org/W6718991148","https://openalex.org/W6737947904","https://openalex.org/W6772837833","https://openalex.org/W6773904973","https://openalex.org/W6982087971"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W1986582023","https://openalex.org/W2966829450","https://openalex.org/W4315864862"],"abstract_inverted_index":{"Semi-supervised":[0],"classifiers":[1,22],"combine":[2],"labeled":[3],"and":[4,27,81,114,144],"unlabeled":[5],"data":[6],"during":[7,44],"the":[8,36,77,87,99,107,115,129,139,147],"learning":[9],"phase":[10],"in":[11],"order":[12],"to":[13,34,75,85,106,127,152,157],"increase":[14],"classifier's":[15],"generalization":[16],"capability.":[17],"However,":[18],"most":[19],"successful":[20],"semi-supervised":[21,159],"involve":[23],"complex":[24],"ensemble":[25],"structures":[26],"iterative":[28,46],"algorithms":[29],"which":[30],"make":[31,86],"it":[32],"difficult":[33],"explain":[35],"outcome,":[37],"thus":[38,150],"behaving":[39],"like":[40],"black":[41,73],"boxes.":[42],"Furthermore,":[43],"an":[45,65],"self-labeling":[47,67,100,112,148],"process,":[48],"mistakes":[49],"can":[50],"be":[51],"propagated":[52],"if":[53],"no":[54],"amending":[55,98,141],"procedure":[56],"is":[57],"used.":[58],"In":[59,121],"this":[60],"paper,":[61],"we":[62,123],"build":[63],"upon":[64],"interpretable":[66],"grey-box":[68,113],"classifier":[69],"that":[70,138],"uses":[71],"a":[72,82,92,118],"box":[74,84],"estimate":[76],"missing":[78],"class":[79],"labels":[80],"white":[83],"final":[88],"predictions.":[89],"We":[90,102],"propose":[91],"Rough":[93],"Set":[94],"based":[95],"approach":[96],"for":[97],"process.":[101],"compare":[103],"its":[104],"performance":[105],"vanilla":[108],"version":[109],"of":[110,117,131,146],"our":[111,132],"use":[116],"confidence-based":[119],"amending.":[120],"addition,":[122],"introduce":[124],"some":[125],"measures":[126],"quantify":[128],"interpretability":[130,145],"model.":[133],"The":[134],"experimental":[135],"results":[136,154],"suggest":[137],"proposed":[140],"improves":[142],"accuracy":[143],"grey-box,":[149],"leading":[151],"superior":[153],"when":[155],"compared":[156],"state-of-the-art":[158],"classifiers.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2020-07-10T00:00:00"}
